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2 weeks ago
We are seeking a highly skilled Senior ETL Data Engineer to join our team. As a key member of our data engineering team, you will design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.
The ideal candidate should have hands-on expertise in ETL frameworks, distributed data processing, and data modeling within cloud environments such as AWS. You will work with various structured and unstructured data sources to perform efficient data ingestion and transformation.
Key Responsibilities:- Design and develop complex ETL pipelines and data solutions using Big Data and cloud-native technologies.
- Leverage tools such as Ab Initio, Informatica, DBT, and Apache Spark to build scalable data workflows.
- Implement distributed data processing using Hadoop, Hive, Kafka, and Spark.
- Build and optimize data pipelines in AWS using services like EMR, Glue, Lambda, Athena, and S3.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4+ years of hands-on experience in ETL development, data engineering, and data pipeline orchestration.
- Strong working knowledge of Ab Initio, Informatica, or similar ETL tools.
- Expertise in Python, PySpark, or Scala for data processing.
- Hybrid work model with flexibility to work from home and office.
- Exposure to cutting-edge technologies and high-impact projects.
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