Job Description
Job Description
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality, and accessible data for analytics.
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines
Build and optimize data models for data warehouses and data marts.
Develop scalable batch and real-time data processing systems.
Integrate data from multiple sources (APIs, databases, files, streaming systems)
Ensure data quality, governance, and security standards
Optimize SQL queries and database performance
Collaborate with BI and analytics teams for reporting requirements
Implement monitoring and logging for data workflows
Required Technical Skills
Experience with ETL tools
Strong SQL and database knowledge (Snowflake, SQL Server, etc.)
Programming skills in Python / Scala
Experience with cloud platforms: AWS / Azure / GCP
Knowledge of data warehousing concepts (Star Schema, Snowflake Schema, Data Vault)
Familiarity with orchestration tools (Flow Manager, Control-M, etc.)
Advanced SQL skills and database expertise (with Oracle)
Qualifications
Bachelor's degree in computer science, IT, Engineering, or related field
Strong problem-solving and analytical skills
Nice To Have
Certification in Python
Certification in AWS/Azure/GCP
Knowledge of data governance frameworks
