This requirement to source profiles with 6-9years of overall experience, including minimum of 5years in Data engineering.
Preferred candidate profile
Bachelors degree in computer science, engineering, or a related field. Masters degree preferred.
Data: 5+ years of experience with data analytics and data warehousing. Sound knowledge of data warehousing concepts.
SQL: 5+ years of hands-on experience on SQL and query optimization for data pipelines.
ELT/ETL: 5+ 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.
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time