Big Data Developer Jobs

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TATACON

Big Data Developer

12 Yrs +

Full-Time·LocationBengaluru

22.00LacsON_SITE12 Yrs +
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 41 days ago · Posted: 21st Feb '26Ends : 22nd May '26
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WIPRO

Lead Big Data Engineer

6-10 Years

Full-Time·LocationPune

25.00LacsON_SITE6-10 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 43 days ago · Posted: 19th Feb '26Ends : 20th May '26
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COGNIZANT

Bigdata Developer

12 Yrs +

Full-Time·LocationChennai

29.00LacsHybrid12 Yrs +
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 44 days ago · Posted: 18th Feb '26Ends : 19th May '26
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HCL

BigData Developer

6-10 Years

Full-Time·LocationBengaluru

22.00LacsON_SITE6-10 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 51 days ago · Posted: 11th Feb '26Ends : 12th May '26
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HCL

Big Data Developer

6-10 Years

Full-Time·LocationHyderabad

26.00LacsON_SITE6-10 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 51 days ago · Posted: 11th Feb '26Ends : 12th May '26
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AIRTEL

Big Data Engineering

6-10 Years

Full-Time·LocationNew Delhi

28.00LacsON_SITE6-10 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 65 days ago · Posted: 28th Jan '26Ends : 28th Apr '26
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AIRTEL

Big Data Engineering

6-10 Years

Full-Time·LocationGurugram

28.00LacsON_SITE6-10 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 65 days ago · Posted: 28th Jan '26Ends : 28th Apr '26
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AIRTEL

Big Data Engineering

6-10 Years

Full-Time·LocationNoida

28.00LacsON_SITE6-10 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 65 days ago · Posted: 28th Jan '26Ends : 28th Apr '26
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Hexaware

Big Data Engineer

3-6 Years

Full-Time·LocationNavi Mumbai

14.00LacsON_SITE3-6 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 109 days ago · Posted: 15th Dec '25Ends : 15th Mar '26
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CitiBank

Big Data Developer

10-12 Years

Full-Time·LocationPune

22.00LacsHybrid10-12 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 114 days ago · Posted: 10th Dec '25Ends : 10th Mar '26
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CitiBank

BigData Developer

12 Yrs +

Full-Time·LocationChennai

24.00LacsON_SITE12 Yrs +
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 114 days ago · Posted: 10th Dec '25Ends : 10th Mar '26
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Phonepe

Big Data Engineer

6-10 Years

Full-Time·LocationBengaluru

18.00LacsON_SITE6-10 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 115 days ago · Posted: 9th Dec '25Ends : 9th Mar '26
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Bigbasket

Big Data Engineer

3-6 Years

Full-Time·LocationBengaluru

14.00LacsON_SITE3-6 Years
Machine LearningPythonData ArchitectureNode.jsData Pipelines
Posted 119 days ago · Posted: 5th Dec '25Ends : 5th Mar '26
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Showing 13 jobs from 9 companies.

Top hiring cities: Bengaluru, Pune, Chennai, Hyderabad, New Delhi, Gurugram.

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Short guide and common questions for this job search on UnoJobs.

Big Data Developer Jobs in India

In today's digital age, the developer role is crucial. They're the tech wizards who handle vast amounts of data, making sense of it to help businesses make informed decisions. Their job involves collecting, storing, processing, and analyzing huge datasets using various tools and technologies.

Meanwhile, they work on developing, maintaining, and testing big data solutions within organizations, ensuring data accuracy and accessibility. It's a role that requires a blend of software engineering skills and deep knowledge of big data technologies.

For those looking to dive into this field or companies aiming to hire such talent, Unojobs is a platform that simplifies the hiring process. It connects skilled professionals with opportunities in various industries, making it easier for both job seekers and employers to find the right match. Whether you're an experienced candidate or new to the job market, Unojobs can help you navigate through the plethora of job opportunities in the fast-paced world of big data development.

Key Skills for Success as a Big Data Developer

To thrive as a Big Data Developer, one must blend technical prowess with analytical acumen. Here's what it takes:

  • Proficiency in Big Data Technologies: Mastery over Hadoop, Spark, and NoSQL databases is crucial. These technologies are the backbone of big data processing and analysis.
  • Programming Languages: A strong grasp of languages like Java, Scala, and Python is essential. They are the tools that bring data to life, allowing developers to build robust data processing applications.
  • Data Processing and Analysis: Efficiently processing and analyzing large datasets is key. It involves cleaning, aggregating, and transforming data to uncover valuable insights.
  • Machine Learning Skills: Knowledge of machine learning algorithms and their application in big data can significantly enhance a developer's ability to derive predictive insights from large datasets.
  • Problem-solving: Big Data Developers often face complex challenges that require innovative solutions. Strong problem-solving skills are invaluable in navigating these challenges.
  • Collaboration: Big data projects are typically team efforts. Effective communication and teamwork skills are essential for collaborating with data scientists, analysts, and other stakeholders.

Qualifications Needed for Big Data Developer Positions

Landing a job as a Big Data Developer usually requires a mix of education, experience, and technical skills:

  • Educational Background: A bachelor's degree in computer science, information technology, or a related field is often the minimum requirement. A master's degree can be an added advantage.
  • Experience: Hands-on experience with big data projects is highly valued. This can come from internships, personal projects, or previous job roles focused on data processing and analysis.
  • Portfolio: Showcasing your projects through a portfolio can demonstrate your skills and creativity in solving big data challenges.
  • Certifications: Certifications in big data technologies, programming languages, or machine learning can bolster your qualifications and make you stand out.

Explore Big Data Developer Jobs in India with Unojobs

The demand for Big Data Developers across India is on the rise, offering a plethora of opportunities in major cities. Unojobs serves as a prime platform for professionals seeking to dive into the big data realm, featuring job listings in various industries.

Accountability in Big Data Developer Positions

Big Data Developers play a pivotal role in shaping the data strategy of organizations. Their responsibilities include:

  • Data Processing: Efficiently processing large volumes of data to make it accessible and usable.
  • Insight Generation: Analyzing data to uncover trends, patterns, and insights that can drive business decisions.
  • Data Integrity: Ensuring the accuracy and integrity of data throughout its lifecycle.
  • Collaboration: Working closely with data scientists, analysts, and business stakeholders to align data projects with organizational goals.

Common Technologies in Big Data Development

Big Data Development leverages a suite of technologies and programming languages, including:

  • Hadoop and Spark: For distributed data processing and analysis.
  • NoSQL Databases: Like MongoDB and Cassandra, for scalable data storage.
  • Java, Scala, and Python: Primary programming languages for developing big data applications.
  • Machine Learning Libraries: Such as TensorFlow and PyTorch, for applying machine learning algorithms to big data.

Innovations and Emerging Trends in Big Data Development

The field of big data is constantly evolving, with new trends and technologies emerging:

  • Real-time Data Processing: Technologies like Apache Kafka and Apache Flink enable real-time data processing and analytics.
  • Cloud-based Big Data Solutions: Cloud platforms offer scalable and cost-effective big data processing and storage solutions.
  • AI and Machine Learning Integration: Integrating AI and machine learning with big data unlocks new possibilities for predictive analytics and intelligent decision-making.
  • Data Privacy and Security: With the increasing importance of data, there's a growing focus on ensuring privacy and security in big data applications.

Common questions