The Data Engineer will design and implement data pipelines and ETL solutions, optimize performance, and lead small teams while ensuring high-quality data processing.
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.
Top Skills
Alation
Apache Airflow
Spark
AWS
Idmc
Iics
Informatica
Kafka
Looker
Microstrategy
Python
SQL
Tableau
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