Senior Data Engineer (SQL, Python, and Java/Scala)

The Role

 Design, build, and optimize ETL/ELT pipelines using Spark (Scala/PySpark) and modern data tools.Architect and manage data lakes and warehouses (AWS, Snowflake, ADF) with a strong focus on data modelling and migration.Develop real-time streaming solutions with Kafka Streams (Java) and ensure high data reliability.Collaborate with cross-functional teams to deliver scalable, AI-ready data solutions and analytics support.Contribute to CI/CD, containerization (Docker/Kubernetes), and uphold best practices in data engineering.Mentor junior engineers and drive continuous improvement within the team. 

Skills

4-6 years in Data EngineeringSQL, Python, and Java/Scala knowledgeAt least one of Snowflake / Databricks / Azure Data Factory / dbtAt least one of PostgreSQL / Oracle / MySQL / SQL ServerExperience in building ETL pipelinesAWS services (S3, RDS, Glue, EMR, Redshift, Athena, Lambda)Data Migration, Data warehousing, Data modellingKnowledge about latest AI models (especially LLMs and VLMs) Good to have skills:Data Analytics skillsKnowledge about Machine Learning techniquesEither of Power BI / Tableau / Qlik / LookerReal-time streaming applications (Kafka streams/Java)Kubernetes, Docker