AWS DATA Engineer

Role** AWS Data Engineer

Required Technical Skill Set** AWS

Desired Experience Range** 5+ years

Location of Requirement Mumbai (Preferred) but Open for Pan India

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

(Ideally should not be

more than 3-5) 1. AWS tools (Redshift, Glue, EMR, Athena, StepFunction, CloudFormation, CloudWatch) 2. Programming language -SQL, Python, Pyspark 3. Data Pipelining skills Data blending 4. Big data technologies- Hadoop, Hive

Good-to-Have 1. Experience working with ETL Integration Tools - SSIS, Informatica 2. Data Science tooling R, SAS 3. Experience of MPP (Massive Parallel Processing) databases e.g. Teradata, Netezza 4. Data Management experience e.g. Data Quality, Security, etc

Expectations from the Role

1 The role will require deep knowledge of data engineering techniques to create data pipelines and build data assets to meet reporting requirements and deliver use cases for the business.

2 Work as part of an Agile software delivery team; typically delivering within an Agile Scrum framework.

3 Analyse data sources, data structure and combine data from multiple sources into a functioning dataset and can publish to visualisation tools

4 Develop solutions based on best practices by promoting reuse, leveraging design patterns, etc

5 Review technical/functional specifications for each use case "pipeline" with technical teams for new data ingestion from source systems, following the project standards