Data Engineer_Pune

Job Title:

Experience:

Location:

Role Overview

Data Engineer

Key Responsibilities

• Gather and analyze data requirements from business stakeholders.
• Perform data exploration, cleaning, and transformation.
• Design and implement

  data models

  for analytics and reporting.
• Develop and maintain

  scalable ETL pipelines and workflows

  .
• Build and optimize data solutions using

  Databricks, PySpark, and SQL

  .
• Write and execute

  unit test cases

  to ensure high-quality data outputs.
• Maintain technical documentation (requirements, design specifications, backend APIs).
• Collaborate with BI, Data Science, and Product teams to deliver

  end-to-end solutions

  .
• Update tasks and progress regularly in

  JIRA

  .

Technical Skills

• Strong experience in

  ETL processes and data warehousing

  .
• Proficiency in

  Databricks, PySpark, Python, and SQL

  .
• Hands-on experience with

  PostgreSQL

  and other relational databases.
• Good understanding of

  cloud platforms (AWS preferred)

  .
• Ability to write

  clean, reusable, and optimized code

  .
• Strong knowledge of

  technical documentation best practices

  .

Preferred Qualifications

• Experience in handling

  large-scale datasets

  and performance optimization.
• Familiarity with

  CI/CD for data pipelines

  .
• Exposure to

  data security and governance practices

  .
• Strong analytical and problem-solving skills.

shobha.jain@appzime.com