
Lead Data Engineering Expert
3 days ago
We are seeking a seasoned Data Engineer(Lead) to join our team and spearhead the design, development, and optimization of complex data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.
- This role requires 6+ years of experience in data engineering or cloud computing data development. The ideal candidate will have expertise in designing, building, and maintaining scalable ingestion and transformation workflows across cloud platforms.
- Benchmark and maintain high-quality data lake and data warehouse solutions using AWS S3, Azure Data Lake, and AWS Glue.
- The selected candidate will collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and machine learning workflows.
- Duties include job orchestration, monitoring, error handling for reliable pipeline execution, maintenance, and support of Data Pipeline operations.
- Candidates must be able to monitor data load and perform data validation and quality checks.
- A successful candidate will collaborate with customers to identify and optimize ingestion pipelines.
- L2/L3 support for data-related issues is also required.
- Analyze Glue job failures, restart, and resolve dependency failures in Glue workflows.
- Tune job configurations and analyze impact on the overall system.
Requirements:
- 6+ years of experience in data engineering or cloud computing data development.
- Expertise in designing, building, and maintaining scalable ingestion and transformation workflows.
- Familiarity with AWS Glue, Azure Data Factory, and Apache Spark.
- Collaborative mindset to work with cross-functional teams.
- Ability to monitor data load and perform data validation and quality checks.
- Strong analytical and problem-solving skills.
- Excellent communication and technical writing skills.
Benefits:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
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