- 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.
RCData Engineer
Riskinsight Consulting 
India only
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About the job
Apply before
Jun 22, 2024
Posted on
Apr 23, 2024
Job type
Full Time
Experience level
Senior
Location requirements
Hiring timezones
India +/- 0 hoursJob categories
Skills
RDBMSData WarehousingData EngineeringAgileCloud TechnologiesAWSDistributed SystemsStreamingData ProcessingData LakeData WarehouseAWS RedShiftGoogle BigQuerySnowflakeETLAWS GlueAmazon S3Amazon RDSAmazon KinesisAWS LambdaApache AirflowAWS Step FunctionsPythonUnixSparkData ModelingData MiningSegmentationSDLCCI CDGitCommunication
About Riskinsight Consulting
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