GroundTruth Career | Associate Software Engineer, Data Engineering

GroundTruth Career 2024: Hiring Associate Software Engineer, Data Engineering in Work From Home. You can find more details about eligibility and the application process below.

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GroundTruth Hiring Details :-

Company Name:GroundTruth
Post Name:Associate Software Engineer, Data Engineering
Salary: 6-12 LPA (via Glassdoor)
Degree:Bachelor’s/Master’s Degree
Batch:2018/2019/2020/2021/2022/2023/2024
Experience:Freshers(0-3yrs)
Job Location:Work From Home

Your role:

  • Create and maintain various data pipelines for the GroundTruth platform.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Work with stakeholders including the Product, Analytics and Client Services teams to assist with data-related technical issues and support their data infrastructure needs.
  • Prepare detailed specifications and low-level design.
  • Participate in code reviews.
  • Test the product in controlled, real situations before going live.
  • Maintain the application once it is live.
  • Contribute ideas to improve the location platform.

Academic qualifications :-

  • Tech./B.E./M.Tech./MCA or equivalent in computer science
  • 0-3 years of experience in Data Engineering
  • Experience with AWS Stack used for Data engineering EC2, S3, Athena, Redshift, EMR, ECS, Lambda, and Step functions
  • Experience in Hadoop, MapReduce, Pig, Spark, Glue
  • Hands on experience with Python for orchestration of data pipelines and Data engineering tasks
  • Experience in writing analytical queries using SQL
  • Experience in Airflow
  • Experience in Docker
  • Proficient in Git

You’re the right fit if:

  • Knowledge of Rest APIs
  • Any experience with big data technologies like Hadoop, Map Reduce, Pig is a plus
  • Knowledge of shell scripting and Perl
  • Experience with BI tools like Looker and Tableau
  • Experience with DB maintenance
  • Experience with Amazon Web Services and Dockers
  • Configuration management and QA practices

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