Associate III - Data Engineering

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UST

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Job Summary


Salary
₹107,222 - ₹171,111 / Monthly EST

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Spark Azure Pandas pySpark AWS ETL Strategy

Job Description

Role Description

We are looking for a highly skilled Data Engineer with strong expertise in SQL, PySpark, Python, and Pandas. The ideal candidate will also have proven team leadership capabilities, enabling them to guide and mentor a team while delivering scalable data solutions. Experience with Generative AI and prompt engineering is a strong plus.

Key Responsibilities

  • Design, develop, and optimize scalable data pipelines and ETL processes.
  • Work extensively with large datasets using SQL and PySpark.
  • Write clean, efficient, and maintainable code in Python.
  • Perform data manipulation and analysis using Pandas.
  • Lead and mentor a team of data engineers, ensuring best practices and high-quality deliverables.
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.
  • Ensure data quality, integrity, and governance across systems.
  • Optimize data workflows for performance and scalability.
  • Participate in architecture discussions and contribute to technical strategy.
  • Stay updated with emerging technologies, especially in Generative AI.

Required Skills & Qualifications

  • Strong proficiency in SQL for data querying and transformation.
  • Hands-on experience with PySpark for big data processing.
  • Advanced programming skills in Python.
  • Expertise in Pandas for data analysis and manipulation.
  • Proven experience in leading or managing a team.
  • Strong problem-solving and analytical skills.
  • Experience working with cloud platforms (AWS, Azure, or GCP).
  • Excellent communication and collaboration skills.

Good to Have

  • Experience with Generative AI concepts and applications.
  • Knowledge of Prompt Engineering techniques.
  • Familiarity with machine learning workflows and tools.
  • Exposure to data warehousing

Skills

data engineering,spark,sql,python,

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