Senior Data Engineer

· Bachelor's degree in Computer Science, IT, Engineering, or a related field with a demonstrated continuous learning ethos.

· Must have a minimum of 8+ years IT experience with at least 5+ years hands-on data engineering or datapipeline development

· Expert-level SQL proficiency with strong expertise in SQL Server, including queryoptimization, indexing, and performance tuning

· Advanced Python programming skills for data processing, automation, and production-grade pipeline development

· Kubernetes expertise – Design, deploy, andmanage containerized data pipelines in on-premise environments

· Strong data modellingexpertise– Both relational and non-relational concepts

· Proven experience with flexible lakehouse/data lake architecture – Multi-layer datalakes, partitioning strategies, and metadata management, Iceberg tables, and optimization

· CI/CD and DevOps practices– Setting up CI/CD pipelines, Git, automated testing, andinfrastructure-as-code tools

· ETL/ELT orchestration experience—Apache Airflow or similar tools for scheduling and monitoring batch and real-time jobs

· Hands-on experience with at least one NoSQL database (MongoDB, Cassandra, etc.)

· Hands-on experience with Apache Spark and PySpark for distributed data processing andperformance optimization

· Data security andgovernance– Role-based access control, data masking, and compliance frameworks

· Proven ability to work autonomously on complex projects while maintaining high codequality standards

· Excellent problem-solving, communication, and cross-functional collaboration skills