DataBricks - Data Engineering

Wipro; Pune District; On-site; INR 2,200,000 - 3,800,000; Full time

Job summary

Wipro in Pune, India seeks a data engineering specialist with 5–8 years of experience to design and review module-level code for large-scale data platforms.

You will work with Python/Scala, Spark, Hadoop stack, Databricks, and cloud services to deliver scalable data solutions, collaborating across teams to ensure well-documented, reliable deliverables.

Qualifications

• 7+ years of data engineering in an agile production environment.
• Strong proficiency in Python or Scala, Spark, Hadoop stack, and SQL.
• Hands-on with Databricks, Spark, PySpark or Java + PySpark.
• Proficiency in Python, Java, or Scala.
• Solid CS fundamentals: OOP, data structures, algorithms.
• Ability to bridge business, data, and technical teams.
• Experience with RDBMS and NoSQL.
• Cloud familiarity with Databricks/AWS/Azure (nice to have).
• Shell scripting and Linux/Unix knowledge.
• Experience designing and developing software at scale.
• Strong written and verbal English communication.
• Self-motivated, creative, team-oriented.
• Degree in CS or related field.

Responsibilities

• Develop and review module-level code for data engineering solutions.
• Create replication patterns and perform root-cause analysis for recurring issues.
• Collaborate with business, data management, and technical teams to deliver well-documented, reliable outcomes.

Skills

Data Engineering

Python

Scala

Spark

Hadoop ecosystem

SQL

Databricks

PySpark

Java

Cloud basics (AWS/Azure)

Linux/Unix

NoSQL/Relational DB

Shell scripting

English communication

Team collaboration

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Hive

Impala

Oozie

Airflow

NiFi

Scoop

SQL databases

Databricks/AWS/Azure

Job description

Job Description

Role Purpose

The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.

Key Skills :

7+years of Engineering experience primarily in Data Engineering in an agile production environment

• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Oozie, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Extensive experience with Databricks, Spark , PySpark or Java + PySprak Processing engine.
• Proficiency in, at least, one modern programming language such as Python, Java or Scala
• Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Working Knowledge in Software Development engineering Paradigms along with Data Engineering.
• Relational Databases as well as NoSQL experience
• cloud technologies like Databricks/AWS/Azure ( Good to have)
• Basic Shell scripting and knowledge of Linux/Unix systems
• Experience in designing & developing software at scale
• Strong written and verbal English communication skills.
• Motivation, creativity, self-direction, and desire to thrive on small project teams
• Superior academic record with a degree in Computer Science or related technical field

Mandatory Skills: DataBricks - Data Engineering.

Experience: 5-8 Years.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.