<p><p><b>Job Title : Tech Lead - Data Engineering</b><br/><br/><b>Location : Gurgaon/Pune</b><br/><br/><b>About the Role : </b><br/><br/>We are seeking an experienced Tech Lead (Data Engineering) who can lead projects, mentor team members, and deliver scalable, high-quality data solutions.
The ideal candidate should have strong technical expertise in Databricks, Big Data, Cloud Platforms (Azure/AWS), and proven experience in building and optimizing data pipelines.<br/><br/><b>Essential for this Role :</b><br/><br/>- Minimum 7+ years of experience in the data analytics field.<br/><br/></p><p>- Strong hands-on experience with Azure/AWS Databricks.<br/><br/></p><p>- Proficiency in Scala or Python, PySpark, and SQL.<br/><br/></p><p>- Experience in building and optimizing data pipelines, architectures, and datasets.<br/><br/></p><p>- Expertise in designing and deploying data applications on Azure or AWS.<br/><br/></p><p>- Strong troubleshooting skills to optimize complex queries on the Spark platform.<br/><br/></p><p>- Knowledge of structured and unstructured data design, modeling, access, and storage techniques.<br/><br/></p><p>- Hands-on experience in performance tuning and optimizing code in Databricks environment.<br/><br/></p><p>- Proven data engineering expertise in Big Data Management (Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure).<br/><br/></p><p>- Strong problem-solving skills in a Big Data environment.<br/><br/><b>Good to Have : </b></p><p><br/></p><p>- Knowledge on Delta Live Tables (DLT).<br/><br/></p><p>- Exposure to Agile/Scrum methodology.<br/><br/></p><p>- Strong understanding of CI/CD tools and automation.<br/><br/><b>Technical / Professional Skills : </b></p><p><p><b><br/></b></p><p><b>- Azure/AWS Databricks</b></p><br/><b>- Python / Scala / Spark / PySpark</b><br/><br/><b>- HIVE / HBase / Impala / Parquet</b><br/><br/><b>- Very Strong SQL and RDBMS</b></p><br/></p> (ref:hirist.tech)