We are looking for 6years to 8 years experienced a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong experience in data processing, ETL development, and working with large datasets in cloud or on-prem environments. Design, develop, and optimize scalable data pipelines. Integrate data from multiple sources (APIs, databases, flat files). Ensure data quality, integrity, and availability. Collaborate with data scientists, analysts, and business teams. Monitor and troubleshoot data workflows and performance issues. Implement best practices for data engineering and governance. Strong programming experience in Python / Java / Scala. Expertise in SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server). Hands-on experience with ETL/ELT tools (e.g., Informatica, Talend, Apache NiFi)Experience with big data technologies (e.g., Apache Spark, Hadoop ecosystem). Proficiency in data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). Experience with cloud platforms (AWS / Azure / Google Cloud Platform). Knowledge of data modeling (star schema, snowflake schema). Experience building and maintaining data pipelines (batch and streaming). Experience with workflow orchestration tools (e.g., Apache Airflow, Prefect)Familiarity with CI/CD pipelines and DevOps practices. Knowledge of containerization (Docker, Kubernetes). Exposure to real-time data streaming (e.g., Apache Kafka)Understanding of data governance, data quality, and security practices. Experience with BI/reporting tools (e.g., Tableau, Power BI). Basic understanding of machine learning pipelines. Strong problem-solving and analytical skills
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