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Data Engineer

1 month ago


bangalore, India Concentrix Full time
Job Description:
Experience: 3 Years - 6 Years
Job Location: PAN India
Notice Period: Immediate/ 15 Days
Shift Timings: 03:00 PM to 12:00 AM (IST)
Skills: Data Engineer; MuleSoft; AWS (EC2, S3, Lambda, Athena, DymanoDB, OpenSearch, CloudWatch, GLUE, Bedrock, SageMaker)
Job Description:
We are seeking an experienced Data Engineer to join our team. The ideal candidate should have a strong background in data engineering and use of MuleSoft tools.
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:
3+ 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
Experience with the MuleSoft Anypoint Platform for building application networks
Experience in using Mule ESB and building integrations with various SaaS apps, databases, APIs
Familiarity with Mule API Manager, Anypoint Exchange, CloudHub deployment
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
Experience with MuleSoft governance, security, and API lifecycle management
Proficient with DataWeave for data transformations and integrations in Mule
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 designs
Interested candidate kindly apply or share your resume to

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