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.
Requirements:
- 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
Responsibility:
- 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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