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Data Engineer - Databricks

NewVision

Pune · Hybrid Full-time Senior Yesterday

About the role

About

  • Posted On: 07 Apr 2026
  • End Date: 30 Jun 2026
  • Required Experience: 6 - 8 Years
  • Employment Type: Full Time
  • Employee Category: Organisational
  • Group Company: NewVision
  • Company Name: New Vision Softcom & Consultancy Pvt. Ltd
  • Function: Business Units (BU)
  • Department/Practice: Data And AI
  • Department/Practice: Data Engineering
  • Region: APAC
  • Country: India
  • Base Office Location: Pune
  • Working Model: Hybrid
  • Weekly Off: Deloitte
  • State: Maharashtra

Role

  • Grade:
  • Role: Senior Software Engineer

Skills

  • AZURE DATABRICKS
  • PYSPARK
  • SPARK
  • PYTHON

Education

  • Highest Education: GRADUATION/EQUIVALENT COURSE

Certifications

  • DP-201: DESIGNING AN AZURE DATA SOLUTION
  • DP-203T00: DATA ENGINEERING ON MICROSOFT AZURE

Working Language

  • ENGLISH

Job Description

Roles and Responsibilities mentioned below:

We are seeking a skilled Databricks Developer to join our dynamic team. The ideal candidate will have a strong background in Databricks programming with extensive experience on Databricks platform.

Responsibilities

  • Collaborate with cross-functional teams to design, develop, and deploy Databricks solutions tailored to business requirements.
  • Implement and optimize ETL processes using Databricks to ensure efficient data processing and integration.
  • Troubleshoot and resolve issues related to Databricks workflows.
  • Design and implement data pipelines, ensuring scalability and reliability.
  • Collaborate with data scientists and analysts to understand data requirements and provide technical support.
  • Stay updated on industry best practices and emerging technologies to continuously enhance development processes.

Requirements

  • Hands-on experience with Databricks, including building and optimizing Spark jobs.
  • Solid understanding of data processing concepts and ETL workflows.
  • Familiarity with cloud platforms like Azure and their integration with Databricks.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and collaboration skills to work effectively within a team.
  • Bachelor's degree in Computer Science, Information Technology, or related field.

Preferred Qualifications

  • Experience with big data technologies such as Hadoop and Hive.
  • Knowledge of machine learning concepts and frameworks.

Requirements

  • Hands-on experience with Databricks, including building and optimizing Spark jobs.
  • Solid understanding of data processing concepts and ETL workflows.
  • Familiarity with cloud platforms like Azure and their integration with Databricks.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and collaboration skills to work effectively within a team.
  • Bachelor's degree in Computer Science, Information Technology, or related field.

Responsibilities

  • Collaborate with cross-functional teams to design, develop, and deploy Databricks solutions tailored to business requirements.
  • Implement and optimize ETL processes using Databricks to ensure efficient data processing and integration.
  • Troubleshoot and resolve issues related to Databricks workflows.
  • Design and implement data pipelines, ensuring scalability and reliability.
  • Collaborate with data scientists and analysts to understand data requirements and provide technical support.
  • Stay updated on industry best practices and emerging technologies to continuously enhance development processes.

Skills

Azure DatabricksDatabricksETLPythonSpark

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