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data engineering analytics sql query optimization etl migration informatica aws python development workflow orchestration scheduling apache airflow processing spark kafka troubleshooting analysis communication leadership reporting microstrategy tableau looker cataloging design logging

Work Mode

On-site

Job Type

Full Time

Job Description

Bachelor’s degree in computer science, engineering, or a related field. Master’s degree preferred. Data: 6+ years of experience with data analytics and data warehousing. Sound knowledge of data warehousing concepts. SQL: 6+ years of hands-on experience on SQL and query optimization for data pipelines. ELT/ETL: 6+ years of experience in Informatica/ 3+ years of experience in IICS/IDMC Migration Experience: Experience Informatica on prem to IICS/IDMC migration Cloud: 5+ years’ experience working in AWS cloud environment Python: 5+ years of hands-on experience of development with Python Workflow: 4+ years of experience in orchestration and scheduling tools (e.g. Apache Airflow) Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues Communication: Excellent communication, problem-solving and organizational and analytical skills Able to work independently and to provide leadership to small teams of developers. Reporting: Experience with data reporting (e.g. MicroStrategy, Tableau, Looker) and data cataloging tools (e.g. Alation) Experience in Design and Implementation of ETL solutions with effective design and optimized performance, ETL Development with industry standard recommendations for jobs recovery, fail over, logging, alerting mechanisms. Show more Show less

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