Senior Data Engineer

4 - 7 years

25 - 30 Lacs

Posted:9 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design, implement, test and maintain scalable and efficient ETL/ELT pipelines to ingest and transform large datasets from diverse sources.
  • Architect, build, test and optimize data warehouses and data lakes, focusing on data consistency, performance, and best practices for analytics.
  • Implement data quality checks, validation rules, and monitoring to ensure data accuracy, integrity, and security. Contribute to data governance initiatives.
  • Continuously monitor and enhance database and query performance, identifying opportunities to streamline and improve data retrieval times.
  • Define and design frameworks for monitoring data quality and data pipelines
  • Monitor Google BigQuery consumption.
  • Evaluate, select, and integrate new tools and technologies to enhance data capabilities. Automate manual processes to improve efficiency and accuracy.
  • Mentor junior engineers, sharing best practices in data engineering and analysis, and helping to build a culture of technical excellence within the team.
  • Proactively lead streams of data engineering work, collaborating with stakeholders and other non-engineering roles to come up with creative solut ions to the problems your team is presented with.
  • Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs.
  • Work collaboratively with other engineers, u sing t echniques like pair and ensemble programming, to foster collective ownership and help upskill, reskill and learn from other team members.
  • Help guide technology choices, adopting company-standard tech stacks by default while responsibly investig ating alternative tools and services and looking for opportunities to innovate.
Skills & experience
Technologies you will be working with
  • SQL, Python, Google Cloud Platform (GCP), and Google BigQuery
  • Data pipeline tools such as Apache Airflow and DBT
  • Data modeling concepts, including dimensional and star schema design
  • Data visualization tools like Looker

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