Role & responsibilities

- Seeking a Senior Data Engineer / ETL Engineer with 5+ years of experience in designing, developing, and optimizing ETL pipelines and data integration solutions.
- Strong expertise in GCP services including BigQuery, Dataflow (Apache Beam), Cloud Storage, Pub/Sub, and Cloud Composer/Airflow.
- Experience with DataStage, Control-M, SQL, Python, and cloud migration projects to build scalable and reliable data workflows.
- Hands-on knowledge of Big Data technologies such as Hadoop, Hive, Spark, Kafka, Flink, and batch/stream processing frameworks.
- Responsible for data governance, automation, performance tuning, monitoring, and delivering high-quality data solutions for analytics and reporting.

Preferred candidate profile :





- 5+ years of experience as a Data Engineer/ETL Developer with strong expertise in DataStage, ETL development, and data warehousing.
- Hands-on experience with Google Cloud Platform (GCP) including BigQuery, Dataflow (Apache Beam), Cloud Storage, Pub/Sub, and Cloud Composer/Airflow.
- Robust programming skills in Python, SQL, and Java, with experience building scalable batch and streaming data pipelines.
- Exposure to Big Data technologies such as Hadoop, Hive, Spark, Kafka, HBase, Flink, and MapReduce.
- Proven experience in cloud migration projects, data integration, performance optimization, automation, and data governance/security best practices.

📌 Data Engineer (ETL) (Hyderabad)
🏢 Allegis Group
📍 Hyderabad