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