MSD Hiring Drive 2024 For Data Engineer | Location Pune

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MSD Hiring Drive 2024: MSD Hiring Drive 2024 for its Data Engineer. MSD Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s Degree or equivalent experience in a relevant field such as Computer Engineering, Computer Science, etc. If you are interested, please apply as soon as possible.

Company Name: MSD

Role: Data Engineer

Location: Pune

Experience: 1 to 3 years

Qualification: Bachelor’s Degree or equivalent experience in a relevant field such as Computer Engineering, Computer Science, etc

Batch: Any

Job Type: Full Time

Salary: Best in Industry

MSD Hiring Drive 2024

Job Description:

  • For the Data Engineer role, we are looking for professional with experience in designing, developing, and maintaining data pipelines.
  • We intend to make data reliable, governed, secure and available for analytics within the organization.
  • As part of a team this role will be responsible for data management with a broad range of activities like data ingestion to cloud data lakes and warehouses, quality control, metadata management and orchestration of machine learning models.
  • We are also forward looking and plan to bring innovations like data mesh and data fabric into our ecosystem of tools and processes.


  • Bachelor’s Degree or equivalent experience in a relevant field such as Computer Engineering, Computer Science, etc.
  • 1 to 3 years of relevant experience
  • Good experience with AWS services like S3, ECS, Fargate, Glue, StepFunctions, CloudWatch, Lambda, EMR SQL
  • Proficient in Python, PySpark
  • Good with Git, Docker, Terraform
  • Ability to work in cross functional teams
  • Preferred Experience and Skills:
  • Any AWS developer or architect certification
  • Agile development methodology


  • Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse
  • Develop the various data transformation rules and data modeling capabilities
  • Collaborate with Data Analyst, Data Scientists, Machine Learning Engineers to identify and transform data for ingestion, exploration, and modeling
  • Work with data governance team and implement data quality checks and maintain data catalogs
  • Use Orchestration, logging, and monitoring tools to build resilient pipelines
  • Use test driven development methodology when building ELT/ETL pipelines
  • Develop pipelines to ingest data into cloud data warehouses
  • Analyze data using SQL
  • Use serverless AWS services like Glue, Lambda, StepFunctions
  • Use Terraform Code to deploy on AWS
  • Containerize Python code using Docker
  • Use Git for version control and understand various branching strategies
  • Build pipelines to work with large datasets using PySpark
  • Develop proof of concepts using Jupyter Notebooks
  • Work as part of an agile team
  • Create technical documentation as needed

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