101 to 125 of 482 Permanent ETL Jobs

what we need from you: Bachelors' Degree in Information Technology or related field 4+ years experience with data analysis, business analysis, data application programming, ETL development, next generation databases, or related In lieu of a degree, 6+ years' experience d ata analysis, business analysis, data application programming, ETL development, next more »

integration. As a junior engineer you will be expected to be able to learn and develop automation skills, and to also develop skills using ETL software tools to support how data flows through the organisation. This is a remote based role. Key Responsibilities for the Graduate API Developer Supporting the more »

knowledge of SQL and databases. The team supports a large number of batch and Real Time interfaces driven from their webMethods, SSIS & Calopus (Legacy ETL application) tools. These include connecting systems via Web Service, SQL, API and file-based integrations. You will be a key person working in Integration covering … Strong SQL skills around Oracle and MS SQL An understanding of a broad range of integration approaches and technologies. Experience with a data integration ETL Tool (preferably SSIS, but knowledge of alternative products would also be considered) Experience with an application integration tool such as webMethods or MuleSoft or Boomi more »

deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »

documentation for the entirety of code base. End to end ownership of the Data Engineering Lifecycle. Implement and manage Fivetran for efficient and reliable ETL processes Job requirements Desired Experience: Bachelor's degree in computer science, engineering, or equivalent experience. Extensive experience as a Senior Data Engineer/Cloud Data … engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Extensive knowledge of querying API systems. Extensive experience building and optimising ETL pipelines using Databricks. Understanding of data governance and data quality principles. Experience with implementing and managing Unity Catalog for data governance. Familiarity with Fivetran ETL more »

NoSQL. Experience implementing data flows to connect operational systems, data for analytics and BI systems. Experience documenting source-to-target mappings. Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Experience in more »

BI Developers Senior stakeholder management - provide solutions and recommendations to support the decision-making process Work with management to develop the reporting system Develop ETL processes using Kimball methodology Key skills Microsoft Azure, Synapse, Data lake SQL PowerBI Proven experience of leading a team What's on Offer Up to more »

of business systems integrations (SQL), API's and data warehousing. Create relationships between data and develop tabular and other multidimensional data models. Analyse current ETL process, define and design new systems to aid with business reporting and processing. Review and make technical suggestions to enhance existing Business Intelligence systems. Work more »

in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building data pipeline/ETL/ELT solutions Ability and strong desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

that provide actionable insights for various business units. Collaborate with stakeholders to gather requirements and translate them into effective data visualizations. Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI and Azure Synapse. Develop and maintain data models and datasets within Power BI and … years of experience in data analytics and business intelligence, with a strong focus on Power BI. Proficiency in SQL for data extraction, transformation, and loading (ETL). Experience with Azure Synapse Analytics or similar cloud-based data warehousing solutions. Strong understanding of data modeling, data visualization, and dashboard design principles. more »

Azure resources like Data Factory, Databricks, Data Lake, SQL Database, and SQL Data Warehouse. Senior-level experience in data engineering, including designing data models, ETL pipelines, and conducting testing/QA. Experience with Azure DevOps, including best practices in source control, CI/CD, and change control. Why Join Us more »

reliable within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of more »

. Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. more »

Engineer, develop, and optimize code to ensure business processes support organizational growth. Essential Requirements: Proven track record in designing and building data infrastructure and ETL pipelines. Proficiency in Azure Platform, including Data Lake, Data Factory, Synapse, Logic Apps, and Function Apps etc. SQL Server, including Store Procedures, T-SQL, or more »

the infrastructure that supports their cutting-edge trading strategies. Key Responsibilities: Design and manage scalable data pipelines. Integrate data from various sources and develop ETL processes. Optimise database systems for high performance. Work with data scientists and analysts to meet data needs. Automate data processing tasks to enhance efficiency. Implement more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

appreciation for the big picture while delivering short/mid-term solutions Experience of building data warehouses, enterprise data warehouses or data lakes with ETL pipelines Experience with AWS tools including Glue, Lambda, S3, RDS, is preferred An understanding of CICD concepts including having a working knowledge of GitHub Understanding more »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes more »

modelling, data mart, and data warehouse development Exposure to Snowflake: building stages, creating schemas and scheduling tasks would be a distinct advantage Understanding of ETL/ELT best practices Exposure in some form of Project Management methodology, existing team work to a version of agile Understanding of Data visualisation principles more »

with real-time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modeling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master's degree in Computer Science more »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »