Galytix Analytics | Hiring | Data Engineer | BigDataKB.com | 2022-09-27

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Job Location: Gurgaon/Gurugram

Senior Data engineer helps to architect, design, implement, and optimise our data ingestion, transformation and spreading pipelines and processes. He or she develops data models, processing pipelines, back-end services supporting the data science teams, automates processes, build integrations, builds analytics.

DESIRED SKILLS:

  • A university degree from a reputed University with a record of academic excellence in Mathematics, Computer Science, Engineering, Physics or similar.
  • 8+ years of relevant experience in Data Engineering, warehousing, ETL, automation, big data and cloud technologies, etc.
  • Ability to write clean, scalable, maintainable code in Python. Has good understanding of software engineering concepts and patterns. Proficiency in other languages like Scala, Java, C#, C++ are an advantage.
  • Proven record of building and maintaining data pipelines deployed in at least one of the big 3 cloud ML stacks (AWS, Azure, GCP).
  • Hands on experience with
  • Open-source ETL, and data pipeline and orchestration such tools as Apache Airflow and Nifi.
  • Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb, Kafka.
  • Workflow orchestration tools like Apache Airflow.
  • Containerisation with Docker, deployment on Kubernetes.
  • NoSql and graph databases.
  • Unix server administration and shell scripting.
  • Experience in building scalable data pipelines for highly unstructured data.
  • Experience in building DWH and data lakes architectures.
  • Experience in working in cross-functional team with software engineers, data scientists and machine learning engineers.
  • Experience in working with or leading an off-shore team.
  • Proven record of building data science environments deploying ML solutions in at least one of the big 3 cloud ML stacks (Azure/Aws/GCP) and on Kubernetes clusters.
  • Excellent written and verbal command of English.
  • Strong problem-solving, analytical, and quantitative skills.
  • A professional attitude and service orientation with the ability to work with our international teams.

Apply Here

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