TransUnion's Job Applicant Privacy Notice
What We'll Bring:
What We'll Bring:
About TransUnion:
TransUnion is a global information and insights company which provides solutions that help create economic opportunity, great experiences, and personal empowerment for hundreds of millions of people in more than 30 countries. We call this Information for Good®.
TransUnion is a leading credit reference agency, and we offer specialist services in fraud, identity, and risk management, automated decisioning and demographics. We support organizations across a wide variety of sectors including finance, retail, telecommunications, utilities, gaming, government, and insurance.
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 deliver 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.
- Advanced proficiency with Apache Spark, including PySpark and SparkSQL, tuning and performance optimisation experience is fundamental.
- Proficiency in Python, Pandas(Scala/Java knowledge is desirable).
- Working knowledge of Apache Hive.
- Strong SQL knowledge and experience (T-SQL, working with SQL Server, SSMS).
- 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.
- 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,
- Knowledge of Delta Lake concepts and common data formats, Lakehouse architecture.
- Source control with Git.
- 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.
- 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.
What’s In It for you?
At TransUnion you will be joining a friendly, forward thinking global business.
As well as a competitive salary & bonus scheme our benefits package includes up 26 days’ annual leave (plus bank holidays) a generous contributory pension scheme, private health care and a host of other employee lifestyle benefits.
That is in addition to a variety of physical, mental, and financial fitness wellbeing programmes such as lunchtime yoga, boxing classes, mindfulness app access, daily dedicated ‘away from keyboard’ time to ensure colleagues take a break and our diversity forums and networking groups.
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.
We are committed to being a place where diversity is not only present, but also embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
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
