Job Description

Basic Qualifications

5+ years of experience as a Data Engineer or in a similar role

3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field

3+ years of experience in SQL & Python

Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline

Experience with data modelling, data warehousing, and building ETL pipelines

Proven track record of solving complex business problem with high quality & automated testing in agile environment.

Experience using one of the big data technologies (Spark, EMR, Dbt cloud etc)

Excellent communication & analytics skills

Preferred Qualifications

Experience working with AWS big data technologies (EMR, Redshift, S3, Lambda, RDS)

Experience working with Snowflake

Demonstrated strength in data modeling, ETL development, and data warehousing

Excellent understanding of any other programming languages like Java or JavaScript

Experience working with one of big data schedulers like Airflow, Oozie, Azkaban etc.

Experience in data streaming with Kafka, Spark Streaming and Kinesis

Basic knowledge on Containerization and Orchestration like Docker, Kubernetes

Understanding of python data libraries like NumPy, Scikit-Learn etc.

Open to learn new technologies & AI libraries
  • Experience

    5 - 11 Years

  • No. of Openings

    5

  • Education

    B.C.A, M.C.A

  • Role

    Data Engineer

  • Industry Type

    IT-Hardware & Networking / IT-Software / Software Services

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Full Time

  • Work Location Type

    Work from Home

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