Role : Data EngineerExperience : 4 - 6 yearsLocation : Pune & GurugramRole and responsibilities : - Design, build, and maintain robust, scalable, and high-performance ETL/ELT pipelines.- Develop and optimize data processing workflows on Databricks.- Partnering with data architects, analysts, and business stakeholders to translate data requirements into reliable, production-grade pipelines.- Drive end-to-end data engineering across project phases - ingestion, transformation, quality, and delivery, ensuring alignment with business objectives and data governance.- Implement and enforce data quality checks, validation frameworks, and monitoring/alerting for pipeline health.- Adhere to defined data engineering standards, guidelines, and best practices across projects.Required Experience & Skills : - 4 - 6 years of hands-on experience designing and building enterprise-scale data pipelines and ETL/ELT solutions.- Strong hands-on expertise with Databricks : notebooks, jobs/workflows, delta tables,



unity catalog.- Deep proficiency in Apache Spark (PySpark and/or Spark SQL) for data processing.- Strong programming skills in Python and advanced SQL for data transformation and analysis.- Solid understanding of data warehousing concepts, dimensional modeling, and the medallion (bronze/silver/gold) lakehouse architecture.- Demonstrated ability to troubleshoot, tune, and optimize jobs for performance and cost perks.- Experience working in agile environments with CI/CD for data pipelines.- Excellent communication and documentation skills.Tech Stack & Expertise : - Databricks platform : Delta Lake, Delta Live Tables (DLT), Unity Catalog, Databricks SQL, Workflows.- ETL/ELT and orchestration.- Data formats and storage : Parquet, JSON, Delta.- Data quality frameworks.- Cost optimization of data workloads : cluster right-sizing, job scheduling, and compute. (ref:hirist.tech)

📌 Netlink - Data Engineer - Databricks/Spark (Pune)
🏢 Netlink Software Pvt td
📍 Pune