About the Role:We are looking for a Big Data Engineer to join one of our leading clients on an exciting project. The ideal candidate will have hands-on experience with large-scale data processing, Hadoop ecosystem tools, and cloud platforms, and will play a key role in building and optimizing data pipelines.Tech StackProgramming Languages: Java / Scala / PythonData Processing Framework: SparkBig Data / Hadoop Frameworks: Hive, Impala, Oozie, Airflow, HDFSCloud Experience: AWS, Azure, or GCP (services such as S3, Athena, EMR, Redshift, Glue, Lambda, etc.)Data & AI Platform: DatabricksRoles & ResponsibilitiesBuild, optimize, and maintain ETL pipelines using Hadoop ecosystem tools (HDFS, Hive, Spark).Collaborate with cross-functional teams to ensure efficient and reliable data processing workflows.Perform data modelling, implement quality checks, and carry out system performance tuning.Support modernization efforts, including migration and integration with cloud platforms and Databricks.Preferred QualificationsHands-on experience with large-scale data processing and distributed systems.Strong problem-solving and analytical skills.Familiarity with CI/CD pipelines and version control tools is a plus.Job Types: Full-time, PermanentPay: €70,000.00-€85,000.00 per yearWork Location: In personApplication deadline: 10/10/2025Reference ID: IJP - SBDE - DUBIR - 01Expected start date: 19/10/2025