Data Engineer

Data Engineers

Responsibilities:

• Develop and maintain

  ETL/ELT pipelines

  for collecting, transforming, and processing data.
• Write efficient

  SQL queries

  for data extraction, transformation, validation, and analysis.
• Develop data processing scripts and utilities using

  Python

  .
• Work with relational and NoSQL databases for data storage and processing.
• Perform data validation, cleansing, and troubleshooting to ensure data quality.
• Support integration of data from multiple sources into centralized data platforms.
• Work with cloud platforms such as

  AWS, GCP, or Azure

  .
• Monitor data pipelines and troubleshoot failures or data-related issues.
• Collaborate with software engineers, analysts, and other technical teams on data requirements.
• Follow engineering best practices for version control, testing, documentation, and deployment.
• Be a team player and work across teams.

Qualifications

• Bachelor's degree in

  Computer Science, Information Technology, Engineering, or a related field

  .
• Strong programming fundamentals in

  Python

  .
• Good understanding of

  SQL

  and relational databases.
• Understanding of

  ETL/ELT concepts and data pipelines

  .
• Familiarity with databases such as

  MySQL, PostgreSQL, Oracle, MongoDB, or similar

  .
• Basic understanding of at least one cloud platform:

  AWS, GCP, or Azure

  .
• Familiarity with

  Git/version control

  .
• Strong problem-solving and analytical skills.

Good to Have

• Exposure to

  PySpark, Apache Spark, Pandas, or NumPy

  .
• Experience with cloud services such as

  GCP, AWS, or Azure

  .
• Exposure to

  Docker, CI/CD, or Linux

  .
• Experience working with APIs and data integration.
• Academic, internship, or personal projects involving

  data engineering, data pipelines, databases, or cloud technologies

  .

Note: