Posted:1 day ago|
Platform:
Hybrid
Full Time
- Overall 8+ years of prior experience as Data engineer/ Data analyst/ BI Engineer.
- At least 5 years of Consulting or client service delivery experience on Amazon AWS (AWS)
- At least 5 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions- Minimum of 5 years of hands-on experience in AWS and Big Data technologies such as Python, SQL, EC2, S3, Lambda, Spark/SparkSQL, Redshift, Snowflake, Snaplogic.
- Prior experience on Snaplogic, AWS Glue, Lambda is must to have.
- 3-5+ years of hands on experience in programming languages such as python, pyspark, spark, SQL,.
- 2+ years of experience with DevOps tools such as GitLabs, Jenkins, Code Build, CodePipeline, CodeDeploy, etc.- Bachelors or higher degree in Computer Science or a related discipline.
- AWS certification like Solution Architect Associate or Associate AWS Developer or AWS Big Data Specialty (nice to have).
Orcapod Consulting Services
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