Own and manage daily Data Engineering operations, including data ingestion workflows, pipeline monitoring, and incident resolution.
Oversee end-to-end pipeline health - proactively monitor, triage, and resolve failures, bottlenecks, and data quality issues across all ingestion layers.
Organize and prioritize the team's daily workload - assign tasks, track progress, and remove blockers to ensure smooth operational delivery.
Maintain and improve ingestion pipelines from various data sources into data lakes, warehouses, and real-time streaming systems.
Act as the first point of escalation for pipeline failures, SLA breaches, and data anomalies - driving root cause analysis and permanent fixes.
Define and enforce operational standards - runbooks, alerting thresholds, on-call procedures, and incident management practices.
Coordinate with upstream data providers and downstream consumers to manage dependencies and communicate pipeline status.
Lead daily stand-ups, sprint planning, and work organization for the Data Engineering Ops function under the wider Data Engineering practice
Mentor and guide junior engineers on operational best practices, debugging, and pipeline development.
Collaborate with data scientists, analysts, and product partners to onboard new data sources and meet ingestion SLAs.
Drive continuous improvement in pipeline reliability, observability, and efficiency.
Implement best practices in data governance, data quality monitoring, and compliance across all pipelines.
Design, build, test, and deploy Data solutions at scale, including data lakes, data warehouses, and real-time analytics.
Lead technical delivery on use cases, plan and delegate tasks to junior team members, and oversee work from inception to final product.
Requirements
Essential:
Bachelor's degree in Computer Science, Engineering, Statistics or a related field
Minimum 8 years of data engineering experience (ideally 10+), with at least 3 years in senior/lead roles.
6+ years of experience in Big Data technologies (e.g., Spark, Hive, Hadoop, Databricks).
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).
Excellent knowledge of data engineering concepts and best practices.
Proven ability to lead, mentor, inspire, and support junior team members.
Ability to lead technical deliverables autonomously and guide junior data engineers.
Ability to organize and manage daily engineering workload - task assignment, prioritization, and delivery tracking.
Strong attention to detail and adherence to best practices.
Experience with batch, real-time streaming, and ETL processes, including incident resolution and pipeline recovery.
Experience building and managing ETL workflows using Apache Airflow, including DAG creation, scheduling, and error handling.
Source control with Git.
Knowledge of CI/CD concepts and experience designing CI/CD for data pipelines.
Experience designing logical data models and physical data models, including data warehouse and data mart designs.
Knowledge of Delta Lake concepts and common data formats, Lakehouse architecture.
Software engineering principles including OOP, design patterns, SDLC, Agile, TDD, and performance optimization.
Desirable :
Relevant certifications (e.g., Googl
Benefits
Health insuranceRemote work options
Additional Information
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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.
Transunion · Pune, India