AWS Data Engineer
13 hours ago
We are seeking a highly skilled and motivated Data Engineer to join our dynamic team.
The ideal candidate will have a strong background in designing, developing, and managing data pipelines, working with cloud technologies, and optimizing data workflows.
Note:
We have Face to Face interview process during weekdays in our Magarpatta/Hinjewadi Phase 1 office.
Only apply if you are willing to attend the F2F interview.
Also we are looking for September and October joiners only.
Experience: 6 to 10 Years
Work: Hybrid
If interested, please refer to the JD below and share the resume with required details.
Total Exp:
Exp as a Data Engineer:
Relevant Exp in AWS Services:
Relevant Exp in Python:
Relevant Exp in Pyspark:
Notice period:
Must have skills are:
- Data Engineer with a strong foundation in data warehousing and data lake principles.
- Extensive hands-on experience with AWS services (e.g., EC2, Glue, S3, Redshift, ECS, Lambda, API Gateway, VPC).
- Strong proficiency in Python, SQL, and PySpark.
- Experience with containerization technologies (Docker, Kubernetes) and serverless computing.
- Experience with CI/CD pipelines (e.g., Gitlab).
- Strong understanding of data modeling, data warehousing concepts (e.g., dimensional modeling), and data quality best practices.
- Experience with Agile development methodologies.
Good to have skills:
Experience with healthcare domain data is good to have but not mandatory.
Experience with data governance and data security best practices.
Experience with Terraform.
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