
Highly Skilled Data Engineering Leader
18 hours ago
Job Title: Senior Data Engineer(Lead)
We are seeking an exceptional Senior Data Engineer to lead our data engineering team and drive the design, development, and optimization of ETL/ELT data pipelines. This role involves leveraging Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory to build scalable ingestion and transformation workflows across cloud platforms.
The ideal candidate will have around 6+ years of experience in data engineering or cloud computing data development and be able to work with structured and unstructured data.
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
- Build data lake and data warehouse solutions using AWS S3, Azure Data Lake, and AWS Glue
- 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
- Maintenance and support of Data Pipeline
- Data load monitoring
- Data Validation and quality checks
- Identify and optimize ingestion pipelines in consultation with Customers
- Data: L2/L3 Support
- Investigate Glue job failures and restart
- Fix minor transformation logic or input data issues
- Resolve dependency failures in Glue workflows
- Tune job configurations
- Impact Analysis and RCA
Required Skills and Qualifications:
- BTECH, BCA, MTECH, MCA, BSC, MSC
- AWS Glue, ADF, ADB
About Us:
We offer a dynamic work environment that fosters collaboration and innovation. As a Senior Data Engineer, you will have the opportunity to work on challenging projects and contribute to the growth and success of our organization.
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