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Job Description
Structured overview of role & requirementsAbout This Role
Lead enterprise data integration and modernization projects including migration from legacy platforms to modern cloud-based architectures.
Design and implement scalable, AI-driven ETL solutions leveraging platforms such as Databricks, Snowflake, Azure Data Factory, and AWS Glue.
Mentor and lead ETL developers and analysts, establish development standards, and participate in hiring and onboarding processes.
Minimum Requirements
7+ years of Data Integration and Data Engineering experience.
Expertise in Talend and/or Informatica and advanced SQL skills.
Proficiency in Python, PySpark, PostgreSQL, Oracle, Databricks, Snowflake, Power BI, Tableau, Azure Data Factory and/or AWS Glue, Apache Airflow, Git, CI/CD, and DevOps.
Work Experience Required: 7+ years in relevant domain.
Ideal Candidate Profile
Experienced in leading ETL modernization and enterprise data migration projects with AI-driven development practices.
Strong architectural skills in cloud-native ETL design and implementation across multi-cloud platforms.
Proven ability to mentor teams, establish governance, and standardize development practices in a data engineering environment.