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What We'll Bring:

What You'll Bring:
We are looking for a Snr Data Engineer to join our growing Data Engineering and Analytics Practice who will drive building next generation suite of products and platform by designing, coding, building, and deploying highly scalable and robust solutions. You will be based both from our offices in Pune and working remotely as part of our ‘flex together’ approach. In this fast-paced role you will work with Business Stakeholders to achieve business goals. This exciting role will offer a host of development opportunities as part of a growing global business.

What You'll Bring:

Key Responsibilities:
 

• Design, build, test, and deploy Big Data solutions at scale, including data lakes, data warehouses, and real-time analytics.
• Extract, clean, transform, and analyze vast amounts of raw data from various data sources.
• Build robust data pipelines and API integrations with various internal systems.
• Work across data operations (BAU), data ingestion, storage, processing.
• Implement best practices in data governance, security, and compliance
• Estimate effort, identify risks, and plan execution effectively for the assigned tasks.
• Proactively monitor, identify, and escalate issues or root causes of systemic issues.
• Collaborate across functions (Data Science, Data Operations, Product development) to deliver data solutions.
• Identify technical risks and ensure timely delivery of assigned tasks. 
• Organise own work/tasks within the scope of the assigned workstream to delivery high quality solutions on time.
  
   

Skills & Experience:

Essential:

• Bachelor’s degree in Computer Science, Engineering, Statistics or a related field
• 6+ years of data engineering experience, with at least 3 years at enterprise scale projects.
• 4+ years of experience in Big Data technologies (e.g., Spark, Hive, Hadoop, Databricks, etc.).
• Strong experience designing and implementing data pipelines.
• Excellent knowledge of data engineering concepts and best practices.
• Ability to collaborate with peers and provide guidance to Jnr. Engineers withing the assigned workstream.
• Strong attention to detail and adherence to best practices.
• Good communication and collaboration skills
• Demonstrate excellent analytical and problem-solving skills.
  
   
• Experience in designing solutions using batch data processing methods, real-time streams, ETL processes, and business intelligence tools.
• Experience designing logical data models and physical data models,
• Strong SQL knowledge and experience (T-SQL, working with SQL Server, SSMS).
• Advanced proficiency with Apache Spark, including PySpark and SparkSQL, tuning and performance optimisation experience is fundamental.
• Working knowledge of Apache Hive.
• Proficiency in Python, Pandas, PySpark (Scala/Java knowledge is desirable).
• Knowledge of Delta Lake concepts and common data formats, Lakehouse architecture.
• Source control with Git.
• Expertise in designing and implementing scalable data pipelines and ETL processes using the GCP data stack, including BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, Cloud Functions, Dataproc (Spark).
• Experience building and managing ETL workflows using Apache Airflow, including DAG creation, scheduling, and error handling.
• Familiar with CI/CD concepts for data pipelines.
• Software engineering principles, including:
  • Object-oriented programming (OOP) principles.
  • Software development lifecycle (SDLC).
  • Agile methodologies and practices.
  • Unit testing, integration testing, and test-driven development (TDD).
  • Performance optimization and scalability considerations.

Desirable:

• Experience with streaming services such as Kafka is a plus.
• R & Sparklyr experience is a plus.
• Knowledge of MLOps concepts, AI/ML lifecycle management, and MLflow.

Relevant certifications (e.g., Google Cloud Professional Data Engineer).
 

Impact You'll Make:

Impact You'll Make:

TransUnion – a place to grow:

We know that it is unrealistic to expect candidates to have each and every aspect of the essential and/or desirable skills listed above – if there is something you can’t tick off right now – good, you can learn here!

Impact you will make:

Enable Decision Making across the organization using data driven culture.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion Job Title

Sr Engineer, Data Design and Analysis