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Data Engineer
4 weeks ago
Job Description:
Experience: 4 Years - 8 Years
Job Location: PAN India
Notice Period: Immediate/ 15 Days
Shift Timings: 03:00 PM to 12:00 AM (IST)
Skills: Data Engineering; data Pipeline; ETL, AWS (and frameworks), Pyspark/ scala; SQL & python
Job Description:
We are seeking an experienced Data Engineer to join our team. The ideal candidate should have a strong background in data engineering.
The project in which the person will be assigned is a data engineering effort to support the current Engineering team.
The application , hosted in AWS, includes EC2, S3, Lambda, Athena, DymanoDB, OpenSearch, CloudWatch, GLUE, Bedrock, SageMaker, Kendra, Amazon Q, Claude from Anthropic Titan Embeddings from in AWS, Python 3, Langchain, and Streamlit
Must Have Skills:
- 5+ years of experience as a Data Engineer working with data integration and ETL/ELT pipelines
- Strong hands-on experience with AWS Glue for building and maintaining data pipelines on AWS
- Expertise in using AWS data services like S3, Athena, Redshift, etc. alongside Glue
- Experience in PySpark or Scala for developing data transformations in Glue
- Knowledge of Glue Data Catalog, crawlers, job monitoring, and orchestration
- Ability to build reusable connectors, templates and integration assets
Desirable Skills:
- Experience with other AWS data tools like Kinesis, Lambda, EMR is a plus Strong programming abilities in languages like Java, Python, SQL
- Solid understanding of data modeling, schema design, and data warehousing principles
- Knowledge of CI/CD, infrastructure as code, monitoring for data pipelines
- Good understanding of data architectures, distributed systems, and real-time processing
- Problem-solving skills to troubleshoot and optimize data pipelines
- Ability to collaborate across teams and translate requirements to technical design
- Familiarity with Mule API Manager, Mule ESB, Anypoint Exchange, CloudHub deployment
- Proficient with DataWeave for data transformations and integrations in Mule
Interested candidate kindly apply or share your resume to
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