Big Data Engineer Jobs in Pune at TCS – Apply Now for Spark & Scala Roles (4–10 Yrs Exp)
Tata Consultancy Services (TCS) Hiring: Big Data Engineer Role in Pune
Overview
Tata Consultancy Services (TCS), one of the global leaders in IT services, consulting, and business solutions, invites applications for the role of Big Data Engineer at its Pune location. This opportunity is ideal for experienced data engineering professionals looking to leverage their skills in Spark and Scala to drive high-impact data solutions in large-scale environments.
Position Title: Big Data Engineer
Location: Pune, India
Experience Required: 4 to 10 years
Application Deadline: 30th June 2025
Job ID: 364846
Job Function: Consultancy
Role Category: Engineer
About the Role
As a Big Data Engineer at TCS, you will be responsible for designing, developing, and managing scalable data platforms that handle high-volume, high-velocity, and high-variety datasets. You will work in close coordination with data scientists, data analysts, and software engineers to develop solutions that enable real-time insights, improved performance, and streamlined data pipelines across the enterprise.
Key Responsibilities
- Spark Application Development:
- Design and build high-performance Spark applications using Scala and DataFrame APIs.
- Fine-tune Spark jobs to maximize runtime performance and support seamless scalability in production environments.
- Implement best practices in data modeling, job orchestration, and error handling.
- Data Platform Management:
- Build and manage large-scale data infrastructure including data lakes, warehouses, and real-time processing systems.
- Oversee data storage optimization, metadata management, and schema evolution.
- Ensure high availability and disaster recovery mechanisms for data pipelines.
- Data Ingestion and Governance:
- Develop data ingestion frameworks for both batch and streaming data from multiple sources.
- Establish comprehensive data governance frameworks that encompass data lineage, quality assurance, and traceable audit mechanisms.
- Collaboration and Innovation:
- Partner with multidisciplinary teams across engineering, analytics, and business functions to architect and deliver full-spectrum data solutions.
- Evaluate emerging technologies and propose architectural improvements.
- Contribute to innovation initiatives that improve business outcomes through data.
Required Skills & Experience
- Core Technical Skills:
- Strong command of Scala programming, complemented by in-depth familiarity with functional programming methodologies.
- Deep expertise in Apache Spark, particularly working with Spark SQL and DataFrame APIs.
- Knowledge of distributed data processing and computing paradigms.
- Platform & Tooling Experience:
- Hands-on experience with big data platforms (e.g., Hadoop ecosystem, HDFS, Hive).
- Familiarity with data orchestration tools such as Apache Airflow or Oozie.
- Exposure to cloud environments such as AWS, Azure, or GCP is a plus.
- Data Engineering Fundamentals:
- Strong understanding of ETL/ELT pipelines, data wrangling, and transformation.
- Applied expertise in designing scalable data architectures and fine-tuning system performance for optimal throughput.
- Problem Solving & Debugging:
- Ability to diagnose and resolve data-related issues efficiently.
- Experience in monitoring and improving job performance metrics.
Desired Candidate Profile
- Educational Qualification:
- A Bachelor’s degree in Statistics, Computer Science, Information Technology, or a related quantitative field.
- Professional Traits:
- Strong communication and collaboration skills.
- Comfortable working in a high-speed, ever-evolving professional setting.
- A commitment to continuous learning and professional growth.
Why Join TCS?
- Global Presence: Be part of a reputed global IT brand with a strong presence across 46+ countries.
- Innovation-Driven Culture: Work on high-impact projects with access to cutting-edge technologies.
- Learning & Development: Continuous upskilling through internal learning platforms, certifications, and mentoring.
- Work-Life Balance: Flexible work policies and inclusive company culture.
- Career Growth: Opportunities for internal mobility, leadership roles, and international assignments.
How to Apply
To apply for the Big Data Engineer position, visit the official TCS Careers Portal and search using Job ID: 364846 or navigate to the Pune job listings under the “Consultancy” category.
Ensure that your resume is updated to reflect relevant experience in Spark, Scala, and large-scale data platform management. Mention specific use cases and project outcomes to enhance your profile visibility.
Final Thoughts
This role is a prime opportunity for data engineering professionals seeking to drive transformation at one of the most respected IT firms globally. With TCS’s commitment to technological innovation and employee development, this position offers a robust platform for career advancement and impact.
Apply by June 30, 2025, and take the next step in your big data career with TCS.