OpenOpportunity Sourced Jobs — Bengaluru
Full Time · On Site · Entry Level
Role: Data Platform Engineer | Department: Engineering - Software & QA | Industry: IT Services & Consulting | Education: UG: Any Graduate PG: Any Postgraduate We are looking for a Data Engineer (Developer) with hands-on experience in Databricks, PySpark, and Spark SQL. Responsible for building data pipelines and supporting Delta Lake-based data processing in cloud environments. Responsibilities: Build data pipelines using Databricks (PySpark, SQL) Work on Delta Lake table development and updates Support Spark job development and execution Assist in workflow creation using Databricks notebooks Perform basic debugging and data validation Required Skills: Databricks, PySpark, Spark SQL, Delta Lake, SQL, Cloud Platforms Good to Have: Git, CI/CD, Airflow, Kafka, Power BI/Tableau Note: This is one of three near-identical "Data Engineer (X)-Developer" listings posted by the same company (Nasu Group, identical Company Logo URL groups/v1/11576112.gif) on the same day, in the same city, at the same experience band - differing only in which single technology is swapped into the title and requirements (Databricks here; Scala in row 8; a third, Snowflake-variant listing exists in the same search but was not included in this file). All three follow an identical opening sentence structure ("We are looking for a Data Engineer (Developer) with hands-on experience in...") and near-identical Responsibilities/Required Skills/Good to Have layout, consistent with a single template being mechanically re-used to generate multiple postings rather than three genuinely distinct openings.
Data Engineer, Airflow, Data Validation, Power Bi Tableau, Pyspark, Data Pipelines, Power Bi, Debugging, Spark Sql, Kafka, Tableau, Sql, Cloud Platforms, Git, Cloud, Spark, Databricks, Data Processing