Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead enterprise data engineering initiatives including cloud-native ETL architecture design and migration from legacy platforms.
Collaborate with BI teams to design scalable reporting models and optimize enterprise reporting performance using Power BI and Tableau.
Architect solutions leveraging Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow, and drive AI-driven ETL modernization including generative AI-assisted code conversion and monitoring.
Minimum Requirements
7+ years of experience in Data Integration and Data Engineering.
Expertise in Talend and/or Informatica, advanced SQL, Python, PySpark, PostgreSQL, Oracle, and experience with Databricks, Snowflake, Power BI, Tableau, Azure Data Factory and/or AWS Glue, Apache Airflow.
Experience with Git, CI/CD, and DevOps practices.
Work Experience Required: 7+ years in Data Integration and Data Engineering
Ideal Candidate Profile
Experienced leader capable of driving ETL modernization programs and adoption of AI-driven development practices.
Proven ability to architect end-to-end data engineering solutions on modern cloud platforms.
Able to mentor developers, establish governance policies, and participate in hiring and technical assessments.