
Data Engineering Leader
6 hours ago
Senior Data Engineer(Lead)
DescriptionWe are seeking a highly skilled and experienced Senior Data Engineer to lead our team in designing, developing, and optimizing large-scale data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.
- Around 6+ years of experience in data engineering or cloud computing data development is required.
- The ideal candidate will have expertise in building scalable ingestion and transformation workflows across cloud platforms.
- They will also have hands-on experience with structured and unstructured data, as well as cloud-based data lake and warehouse solutions.
Responsibilities
- Design, develop, and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory.
- Work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
- Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows.
- Implement job orchestration, monitoring, and error handling for reliable pipeline execution.
Qualifications
BTECH, BCA, MTECH, MCA, BSC, MSC are preferred qualifications for this role.
Required Skills
AWS Glue, ADF, ADB, Immediate Joiner are the essential skills for this position.
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