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Data Engineer

India - Remote

Full Time Senior-level / Expert USD 118K - 190K *
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Riskinsight Consulting

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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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS AWS Glue BigQuery CI/CD Data Mining Data warehouse Data Warehousing Distributed Systems ETL Git Kinesis Lambda Python RDBMS Redshift SDLC Snowflake Spark Step Functions Streaming

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  3  1  0
Category: Engineering Jobs

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