OpenOpportunity Sourced Jobs — Bengaluru
Full Time · On Site · Entry Level
Role: Data 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 PySpark, Scala, and Apache Spark. Responsible for developing scalable ETL/ELT pipelines, processing large datasets, and supporting data engineering workflows in production environments. Responsibilities: Develop data pipelines using PySpark and Scala Build ETL/ELT workflows for data processing Work on batch data processing using Spark Support data validation and basic troubleshooting Assist in optimizing Spark jobs Required Skills: PySpark, Scala, Apache Spark, SQL, ETL/ELT, Data Processing Good to Have: AWS/Azure, Airflow, Kafka, Data Lakes, Parquet Note: The second of the confirmed template-farmed trio from Nasu Group (same Company Logo URL groups/v1/11576112.gif as row 7, same posting date, same city, same "0 - 3 years" band). The opening sentence structure and section layout ("We are looking for a Data Engineer (Developer) with hands-on experience in..." / Responsibilities / Required Skills / Good to Have) is identical to row 7's, with only the named technology (Scala here vs. Databricks in row 7) and the corresponding skill list swapped in - strong evidence both listings were generated from one shared template rather than written for two distinct roles.
Data Engineer, Airflow, Data Validation, Parquet, Pyspark, Azure, Data Engineering, Data Pipelines, Workflows, Scala, Kafka, Elt, Troubleshooting, Apache, Sql, Apache Spark, Spark, Data Processing, Aws, Etl