Data Engineer Lead

Data Engineer Lead Overview We are looking for a Lead Data Engineer who will help in implementing data analytics products using on-prem and cloud data platforms. Position Responsibilities: As a Lead Data Engineer, you will: • Design and build scalable, cloud-native data platforms for modern data engineering practices. • Mentor and guide other engineers, sharing knowledge, reviewing code, and fostering a culture of curiosity, growth, and continuous improvement. • Create robust, maintainable ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases. • Lead by example—write high-quality, testable code and participate in architecture and design discussions with a long-term view in mind. • Decompose complex problems into modular, efficient, and scalable components that align with platform and product goals. • Support data governance and quality efforts, ensuring data lineage, cataloging, and access management are built into the platform. • Participate in architectural discussions, iteration planning, and feature sizing meetings SKILLS: • Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks). • High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products. • Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred) • Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend. • Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability. • Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders. • Experience developing Java based applications is an added advantage hybrid GDL offices techM remote