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- At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases
- At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered)
- Professional experience working in an agile, dynamic and customer facing environment is required
- Understanding of distributed systems and cloud technologies (AWS) is highly preferred
- Understanding of data streaming and scalable data processing is preferred to have
- Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred
- Atleast 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions
- Strong knowledge in scripting languages like Python, UNIX shell and Spark is required
- Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc
- Technical expertise with data models, data mining and segmentation techniques
- Experience with full SDLC lifecycle and Lean or Agile development methodologies
- Knowledge of CI/CD and GIT Deployments
- Ability to work in team in diverse/ multiple stakeholder environment
- Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams
Data Engineer - India - RiskInsight Consulting Pvt Ltd.
RiskInsight Consulting Pvt Ltd.
India
2 weeks ago