Data Engineer

Responsibilities• Design and maintain batch and real-time data pipelines. • Develop ETL/ELT processes and data ingestion frameworks. • Work with teams to gather data requirements and technical specifications. • Monitor, troubleshoot, and optimize pipeline performance. • Automate data ingestion, transformation, and validation. • Implement CI/CD pipelines and infrastructure automation. • Ensure data security and compliance standards. • Support project planning, estimation, and delivery. Skills Required• 10+ years of Data Engineering experience. • Strong skills in Python, SQL, Spark, and SSIS. • Experience with Databricks, Snowflake, BigQuery, and Data Lake. • Strong knowledge of ETL pipelines, Data Warehousing, Star Schema, and Dimensional Modelling. • Experience with distributed systems and large-scale datasets. • Good analytical, communication, and problem-solving skills.