Job Description
Job Title:  DEVELOPER L3
City:  Bengaluru
State/Province:  Karnataka
Posting Start Date:  10/7/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Job Description

We are seeking an experienced Big Data Engineer with strong expertise in PySpark, Scala, Apache Spark, and distributed data processing. The ideal candidate should have hands-on experience building scalable data pipelines, processing large datasets, and working with cloud-based data platforms. Exposure to Generative AI, LLMs, or AI/ML technologies is desirable but not mandatory. Internal AI engineering role definitions also highlight cloud, MLOps, and GenAI familiarity as valuable complementary skills.

Mandatory Skills

  • PySpark
  • Scala
  • Apache Spark
  • Hadoop Ecosystem
  • Hive
  • SQL
  • Data Warehousing Concepts
  • ETL/ELT Development
  • Python
  • Git
  • Linux/Unix
  • Cloud Platforms (AWS/Azure/GCP)

Good to Have

  • Databricks
  • Kafka
  • Airflow
  • Delta Lake
  • Snowflake
  • Generative AI / LLMs
  • LangChain
  • Vector Databases
  • AI/ML Fundamentals
  • MLOps
  • Azure OpenAI / OpenAI APIs

Key Responsibilities

  • Design and develop scalable big data solutions using PySpark and Scala.
  • Build and optimize ETL pipelines for processing large volumes of structured and unstructured data.
  • Develop data ingestion, transformation, and orchestration frameworks.
  • Work with Spark, Hive, Hadoop, and cloud-based data platforms.
  • Optimize Spark jobs for performance, scalability, and reliability.
  • Collaborate with data scientists, analysts, and business teams to deliver data solutions.
  • Implement best practices for data quality, governance, and security.
  • Support deployment automation and CI/CD for data engineering workloads.
  • Contribute to AI-powered data initiatives where applicable.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of hands-on experience in Big Data Engineering.
  • Strong experience with PySpark and Scala development.
  • Extensive experience with Spark SQL, Hive, and distributed data processing.
  • Experience working with cloud data platforms and modern data architectures.
  • Strong problem-solving and debugging skills.

Preferred Experience

  • Databricks implementation and optimization.
  • Real-time data processing using Kafka/Spark Streaming.
  • Exposure to Generative AI, LLMs, or AI-assisted analytics solutions.
  • Experience integrating AI/ML workloads with big data platforms.

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Areas of responsibility

 

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Gathering of requirements-Assist in conducting workshops and discussions with client stakeholders to gather business process requirements.

Coding and Configuration-"Develop and deliver code for assigned modules, in alignment with client requirements ensuring proper integration with system components.

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Testing and Trial Runs-"Execute testing for assigned modules, validate functionality across required interactions, and participate in User Acceptance Testing (UAT) sessions.

Implementation-Participate in implementation of software application and its integration with other systems to ensure stability.

Maintain Documentation-Prepare detailed reports and documentation on project specifications, activities, and status, while presenting information using flowcharts, layouts, diagrams, code comments, and clear, well-structured code.

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Stakeholder Collaboration-Collaborate with cross functional teams  to understand requirements, support development activities, check system compatibility, and ensure solutions meet expected standards.

 

Mandatory Skills: Windows Platform Engineering Full Stack .

 

Experience: 3-5 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.
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