1 to 25 of 535 Remote ETL Jobs

information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for … quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced More ❯

information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for … quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced More ❯

information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for … quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced More ❯

information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for … quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced More ❯

information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for … quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced More ❯

of Excellence for Insight and analysis for the whole Aventum Group Identify data quality issues and support the data governance initiative by developing an exceptional reports Model business logic, extract key performance metrics, and create reusable data structures. Maintain data so that it remains available and usable,e.g. SQL (Basic, Advanced modelling, Efficient, Big Data and Programmatic) Support Data munging … such as reshaping, aggregating, joining disparate sources, small-scale ETL, API interaction, and automation, e.g. Python Support the data normalisation and modelling as part of the transform step of ETL/ELT pipelines Dive deep to create trustworthy and understandable data for our DA to create insights on how well Aventum is taking care of the customer as it relates … Azure App service, Azure ML is a plus Languages: Python, SQL, T-SQL, SSIS DB: Azure SQL Database, Cosmos DB, NoSQL, Methodologies: Agile, DevOps must have Concepts: ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (public Key Infrastructure) and Integration testing Management Duties Yes We are an equal opportunity employer, and we are proud to More ❯

data challenges. Your Job's Key Responsibilities Are: Designing, developing, and maintaining robust data pipelines using Databricks, Spark, and Python Building efficient and scalable ETL processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and … data manipulation libraries (e.g., PySpark, Spark SQL) Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques, and database systems Proven experience with at least one major cloud platform (Azure, AWS, or GCP) Excellent SQL skills for data querying, transformation More ❯

data challenges. Your Job's Key Responsibilities Are: Designing, developing, and maintaining robust data pipelines using Databricks, Spark, and Python Building efficient and scalable ETL processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and … data manipulation libraries (e.g., PySpark, Spark SQL) Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques, and database systems Proven experience with at least one major cloud platform (Azure, AWS, or GCP) Excellent SQL skills for data querying, transformation More ❯

data challenges. Your Job's Key Responsibilities Are: Designing, developing, and maintaining robust data pipelines using Databricks, Spark, and Python Building efficient and scalable ETL processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and … data manipulation libraries (e.g., PySpark, Spark SQL) Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques, and database systems Proven experience with at least one major cloud platform (Azure, AWS, or GCP) Excellent SQL skills for data querying, transformation More ❯

database standards. Collaborate with team members to support data workflows for bronze, silver, and gold data tables. Help identify recurring issues and suggest improvements for operational efficiency. Support basic ETL (Extract, Transform, Load) processes to maintain data pipelines. Execute simple data quality checks to ensure the accuracy and consistency of data. Assist in troubleshooting database errors and performance bottlenecks. Escalate … as needed. Adhere to security protocols and compliance requirements in database operations. Assist in Data Migration and Integration Efforts - Support the transition of data between systems by helping with Extract, Transform, Load (ETL) processes and ensuring data consistency across different platforms. Monitor and Troubleshoot Database Performance Issues - Identify potential bottlenecks, perform root cause analysis, and work with senior architects to More ❯

part in ongoing training and knowledge-sharing sessions with more experienced architects Assist in Data Migration and Integration Efforts - Support the transition of data between systems by helping with Extract, Transform, Load (ETL) processes and ensuring data consistency across different platforms. Monitor and Troubleshoot Database Performance Issues - Identify potential bottlenecks, perform root cause analysis, and work with senior architects to … in either Python or SQL, with knowledge in building and optimizing data pipelines or analytics solutions. Familiarity with popular relational databases (e.g., MySQL, PostgreSQL, SQL Server) Basic understanding of ETL processes and tools (e.g., Talend, Informatica, or similar) Exposure to cloud-based data services (e.g., AWS RDS, Azure SQL Database, or Google Cloud SQL) Understanding of fundamental networking concepts and More ❯

data manipulation libraries (e.g., PySpark, Spark SQL) • Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables • Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques, and database systems • Proven experience with at least one major cloud platform (Azure, AWS, or GCP) • Excellent SQL skills for data querying, transformation … platform, supporting clients in solving complex data challenges. • Designing, developing, and maintaining robust data pipelines using Databricks, Spark, and Python • Building efficient and scalable ETL processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses • Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and … Staying up to date with advancements in Databricks, data engineering, and cloud technologies to continuously improve tools and approaches Technologies: AI AWS Azure CI/CD Cloud Databricks DevOps ETL GCP Support Machine Learning Power BI Python PySpark SQL Spark Terraform Unity GameDev Looker SAP More: NETCONOMY has grown over the past 20 years from a startup to a More ❯

to ensure data infrastructure is optimized for performance, scalability, and reliability. Provide leadership and mentorship to data architecture and engineering teams. Data Integration and Management: Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms. Oversee the management of metadata, master data, and data lineage across systems. Ensure data consistency … Proven track record of designing and implementing large-scale data architectures in complex environments. CICD/DevOps experience is a plus. Skills: Strong expertise in data modeling, data integration (ETL/ELT), and database design. Proficiency in SQL, PL/SQL, and performance tuning in Teradata, Oracle, and other databases. Strong experience with cloud data platforms tools and services (e.g. More ❯

Jira (or similar agile tool), ensuring timely and high-quality deliverables. Experience with cloud platforms (AWS, Azure, or GCP), including infrastructure provisioning, configuration, and cost optimization. Solid understanding of ETL/ELT processes and tools, with a track record of designing and managing reliable data pipelines. Expertise in CI/CD tools (e.g., Jenkins, GitLab CI, or Azure DevOps), including More ❯

to-end data pipelines in Azure. Architect data solutions using Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Ensure solutions are scalable, efficient, and aligned with business objectives. ETL/ELT Processes: Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF). Develop data ingestion processes for structured and unstructured data sources. Data Modelling and Warehousing … data engineering with Microsoft Azure. Proficiency in Azure services such as Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database. Strong experience with ETL/ELT pipelines, data modelling, and data integration. Proficiency in SQL and programming languages like Python, Scala, or PowerShell. Knowledge of data governance, security, and compliance frameworks. Preferred Skills: Experience More ❯

a key role in shaping, implementing, and enhancing our Data Lake using Azure Databricks Source Integration : Establish connections to diverse systems via APIs , ODBC , Event Hubs , and sFTP protocols. ETL/ELT Pipelines : Design and optimize data pipelines using Azure Data Factory and Databricks Medallion Architecture : Implement Bronze, Silver, and Gold layers using formats like Delta , Parquet , and JSON for More ❯

data structures, transformation processes, and best practices for business intelligence reporting. Experience working with ERP data, particularly D365, is beneficial. Knowledge of data lineage testing to ensure accuracy throughout ETL processes. Collaborative mindset with a passion for continuous learning and staying updated on BI and data technologies. Self-driven and adaptable to change within the company’s digital transformation journey. More ❯

deliver measurable outcomes. Experience of working in environment where written and verbal communication are essential to delivery of outcomes. Desirable Awareness of data engineering concepts, including Data Warehousing or ETL processes. Exposure to deployment pipelines or CI/CD concepts, with a willingness to learn how code is tested and promoted into production environments. Familiarity with reporting and dashboarding tools More ❯

a few in-person meetings in shared co-working spaces on an ad hoc basis. Role Description We are looking for an SQL Developer (Snowflake), specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. Key Responsibilities … Develop and optimise complex SQL queries , views, and stored procedures in Snowflake . Design and maintain efficient ETL/ELT pipelines using modern data integration platforms. Create and manage Python-based stored procedures in Snowflake to support advanced transformations and automation. Build and maintain Power BI datasets, data models, and semantic models to support business intelligence needs. Work closely with … of data warehousing, dimensional modelling, and ELT best practices. Knowledge of version control and Agile development methodologies. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Snowflake certification (e.g., SnowPro Core) is a strong plus Proficiency in Snowflake for data warehousing, including semantic modelling and Python-based stored procedures. Experience with Azure Data Factory More ❯

the data strategy, enhancing platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance More ❯

the data strategy, enhancing platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance More ❯

data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the Fabric ecosystem. Leverage Fabric's suite of tools to build dynamic reports, dashboards, and analytical applications. Maintain high standards of data integrity, consistency, and system performance across More ❯

structures. Demonstrated ability to write clean, efficient code in Python and SQL with knowledge on building and optimizing data pipelines or analytics solutions. Foundational understanding of data pipelines and ETL/ELT processes, including data ingestion and transformation concepts. Basic knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) with a willingness to learn more advanced automation practices. General More ❯

using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams More ❯

market. Working specifically with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality … . Experience working with Underwriting teams. Strong understanding of insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL pipelines. Solid knowledge of relational databases (e.g., MS SQL Server, Azure SQL). Excellent problem-solving skills and ability to work independently or as part of a team. Strong stakeholder More ❯