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Knowledge or experience on ETL technologies like Informatica or Ab-initio would be preferable. NICE to have skills- AWS- ETL/DATA Pipeline - AbInitio, Informatica, hadoop. Any experience in understanding requirement related to extraction, transformation, and loading (ETL) of data using Spark on Cloud.
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Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops. Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring.
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5+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud. oGood to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops. Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL.
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Good to have - Airflow, Splunk, Kubernetes, Git, Azure Devops. Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Tables, Delta Lake storage, Spark (PySpark, Spark SQL). Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs.
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About the job Databricks Architect. Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach.
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Requires a bachelor's or foreign equivalent degree in computer science, software engineering, MIS or a related field and 5 years of experience in the job offered or 5 years of experience performing data engineering, including building ETL and ELT, data warehousing and big data solutions.
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7+ years of experience as a Data Engineer in building ETL, data warehousing, and big data solutions. Experience with data modeling, data warehousing, building ETL pipelines, and Unix shell scripts and commands.
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Strong ETL Tech design and development expertise Working knowledge of DataStage. Strong ETL Tech design and development expertise Working knowledge of DataStage. Experience with DataStage administration, configuration and tuning.
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Proven experience using the Jitterbit platform to create ETL solutions, including the use of REST/SOAP services, XML, and scripts. Proven experience using the Jitterbit platform to create ETL solutions, including the use of REST/SOAP services, XML, and scripts.
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Lead Data Engineering Projects to manage and implement data-driven communication systems. B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.
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