
Big Data Developer
4 weeks ago
Notice period : Can join Immediately or Currently serving ( 30- 45 days )
- 3-6 years of good hands on exposure with Big Data technologies – pySpark (Data frame and SparkSQL)
- Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. Glue, Lambda, RedShift, S3, etc.)
- Good hands on experience of python
- Good understanding of SQL and data warehouse tools like (Redshift)
- Strong analytical, problem-solving, data analysis and research skills
- Demonstrable ability to think outside of the box and not be dependent on readily available tools
- Excellent communication, presentation and interpersonal skills are a must
- Orchestration with Step Function/MWAA and Any job scheduler experience
Roles & Responsibilities
- Develop efficient ETL pipelines through spark or Glue
- Able to implement business use cases using Python and pySpark.
- Able to write ELT/ETL jobs on AWS (Crawler, Glue Job)
- Participate in code peer reviews to ensure our applications comply with best practices.
- Gather requirements to define AWS services and accordingly implement different security features
- Provide estimates for development Task.
- Can perform integration testing of developed infrastructure.
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