- We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure.

- The role will focus on enabling data-driven decision-making by ensuring reliable data availability, quality, and performance across systems.

Key Responsibilities :

- Design, develop, and maintain scalable ETL/ELT data pipelines

- Build and optimize data architectures for structured and unstructured data

- Ensure data quality, integrity, and governance across systems

- Collaborate with data scientists and analysts to enable advanced analytics use cases

- Implement data warehousing solutions and optimize query performance

- Work with cloud platforms (AWS/GCP/Azure) for data ingestion and processing

- Monitor pipeline performance and troubleshoot issues

Requirements :

- 7 to 10 years of experience in Data Engineering

- Strong expertise in SQL, Python, or Scala

- Experience with ETL tools and frameworks

- Hands-on with cloud platforms (AWS/GCP/Azure)

- Knowledge of big data technologies (Spark, Hadoop, Kafka)

- Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)