Data Engineer

7 days ago


Mumbai, Maharashtra, India antal international network Full time

Skill sets required 5+ years of experience in Data Engineering

Expertise in AWS cloud - and AWS cloud services like Athena,S3,EMR/Spark, Redshift,Glue, glue data brew,RDS,DMS. - Is a MUST

Work Model - WFO - M - F - 2 saturdays half day (santacruz Experience:

A proven track record of 5+years of hands-on working experience as a Lead Data Engineer.

Must have worked on cloud environments (e.g., AWS, Azure, GCP) with hands-on experience on Datalake, Data Warehouse and Data Migration related platforms, tools and frameworks.

Should have good experience in data modelling, data structures (e.g., relational and non-relational data), databases, and ETL/ELT processes and an in-depth understanding of large-scale data sets including both structured and unstructured data.

Should have experience developing and delivering scalable data solutions and pipelines on the cloud platforms and on-prem Data platforms.

Should have experience with AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, Cloud Trail

Should be Strong in SQL & Python and Big Data tools such as Spark, Kafka, Scala, etc.

Should have Hands-on experience in development, deployment, and operation of integration technologies (e.g., APIs) and

Proficiency with data warehouses - AWS Redshift

Experience with DevOps, Git, CI/CD Tools and processes.

Key Responsibilities:

Should be able to understand the functional requirements from the business & able to translate them to technical requirements.

Develop and maintain data pipelines (ETL/ELT) and EMR job to bring the data from different data sources.

Prepare Technical design documents and build and unit test them with high quality standards.

Delivery of key migrations from pre-prod environments to the PROD environment

Work closely with project teams to bring the right data into Datalake and Warehouse for Advanced analytics, BI Dashboards/Reports

Troubleshoot and resolve complex production issues, performing root cause analysis, deliver onto ad-hoc requests, documenting and providing the best solution to the problem.

Secondary Skills:

Agile process knowledge will be an added advantage.

Good Communication

Strong Team player - with ability to work across cross functional groups

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