51 to 75 of 715 ETL Jobs

and development of custom solutions on the platform including significant work in Apex, Visual Force, Lightning, application integration patterns using Mule soft and other ETL tools Expert with configuring/customizing standard SFDC objects such as Leads, Accounts, Opportunities, Reports & Dashboards, with proven hands-on experience building custom objects & solutions more »

and development of custom solutions on the platform including significant work in Apex, Visual Force, Lightning, application integration patterns using Mule soft and other ETL tools Expert with configuring/customizing standard SFDC objects such as Leads, Accounts, Opportunities, Reports & Dashboards, with proven hands-on experience building custom objects & solutions more »

and development of custom solutions on the platform including significant work in Apex, Visual Force, Lightning, application integration patterns using Mule soft and other ETL tools Expert with configuring/customizing standard SFDC objects such as Leads, Accounts, Opportunities, Reports & Dashboards, with proven hands-on experience building custom objects & solutions more »

and data transformation.Strong experience in managing and leading data engineering teams.Strong proficiency in Scala, Python, SQL, Snowflake and DBT.In-depth understanding of data modelling, ETL processes, and data warehousing concepts.Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.Excellent problem-solving more »

responsible for accessing, validating, and querying data from various repositories using available tools. Build and maintain data integration processes using SQL Services and other ETL/ELT processes and scripting tools as well as ongoing requests and projects related to the data warehouse, MI, or fast-moving financial data. Designing … Architecting, building, testing, and maintaining data platform. Develop and support a wide range of data transformations and migrations for the whole business. Construct custom ETL processes: Design and implement data pipelines, data marts and schemas, access versatile data sources and apply data quality measures. Monitoring the complete process and applying … ML is a plus Experience with Azure SQL Database, Cosmos DB, NoSQL, MongoDB Experience with Agile, DevOps methodologies Awareness and knowledge of ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (Public Key Infrastructure) and Integration testing Skills and Abilities Knowledge of Python, SQL, SSIS, and more »

high-performance data systems that are foundational to driving business growth and success. Key responsibilities: Implementing scalable data architectures and systems. Developing and maintaining ETL (Extract, Transform, Load) pipelines. Managing data storage, backup, and recovery mechanisms. Writing complex SQL queries to extract data for analysis. Developing and implementing data security more »

operating Operational Datastore/Data Lake/Data Warehouse platforms at scale with high-availabilityData integration: Familiarity with data integration tools and techniques, including ETL (Extract, Transform, Load) processes and real-time data streaming (e.g., using Apache Kafka, Kinesis, or Pub/Sub), exposing data sets via GraphQLCloud platforms expertise more »

requirements into technical requirements & development experience using data discovery tools such as MS Power BI, QlikView, Tableau Ability to model and transform data, build ETL solutions and present data in a useful business context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data more »

Technologies such as Docker and orchestration tools like Kubernetes for containerized deployments. Workflow management tools such as Airflow for orchestrating complex data pipelines and ETL processes. Certifications in Azure cloud services and data engineering technologies, demonstrating expertise and proficiency in the Azure ecosystem. Rewards & Benefits: TCS is consistently voted a more »

in your approach to designing and delivering high-quality solutions that meet or exceed client expectations.Responsibilities include:Architect Databricks Enterprise Data Platform solutions including ETL/ELT and Lakehouse architecture and design and lead use case delivery across a variety of use cases (e.g. legacy migrations, enterprise analytics, data engineering more »

in your approach to designing and delivering high-quality solutions that meet or exceed client expectations.Responsibilities include:Architect Databricks Enterprise Data Platform solutions including ETL/ELT and Lakehouse architecture and design and lead use case delivery across a variety of use cases (e.g. legacy migrations, enterprise analytics, data engineering more »

platform in AWS. Utilise Agile methodologies to manage the development lifecycle. Design and implement data pipelines, ensuring data quality and integrity. Requirements: Proficiency in ETL tools such as SQL, SSIS, AWS, Lambda, and Python. Strong understanding of data warehouse concepts. Excellent problem-solving and communication skills. Benefits: Competitive salary and more »

Databricks, Power BI Strong in delivering solutions at scale, on time and within budget. Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processes Please apply as directed more »

Databricks, Power BI Strong in delivering solutions at scale, on time and within budget. Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processes Please apply as directed more »

/Developer to lead the transition of databases from SQL Server 2012 to SQL Server 2019. If you are passionate about data warehouse design, ETL methods, and Agile projects, we have the perfect opportunity for you to showcase your skills and contribute to our ongoing success. Our client are a more »

client sites. We're seeking a Data Engineer with a focus on Azure, showcasing proficiency in: · Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. · Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure more »

/Developer to lead the transition of databases from SQL Server 2012 to SQL Server 2019. If you are passionate about data warehouse design, ETL methods, and Agile projects, we have the perfect opportunity for you to showcase your skills and contribute to our ongoing success. Our clients are a more »

pipelines, security and networking Expertise with data warehousing, data lakes and data lake houses Experience with master data management software and technologies Experience with ETL technologies including SQL Server, SSIS, Azure Data Factory Working knowledge of agile development, CI/CD, test and data automation Working knowledge or experience of more »

and Business teams to enhance our customer-centric culture. Ideal Candidate Profile: Proven track record in big data engineering with a solid understanding of ETL pipelines and data system projections. Proficiency in Python, PySpark, SQL, and familiarity with data science tools like R, ML, AI. Strong foundation in database management more »

data from various sources into our data warehouse and data lakes. Uphold data integrity, quality, and consistency throughout the entire process. Create and enhance ETL/ELT workflows capable of handling substantial data volumes. Collaborate with data analysts, data scientists, and other stakeholders to comprehend their data needs. Develop and more »

support organizational growth. Essential Requirements: Minimum 5 years of experience in a similar role. 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. SQL Server, including Store Procedures, T-SQL, or similar more »

part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift Architect data models and schemas in BigQuery to more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on more »