Key Responsibilities Data Engineering & Architecture Design and implement scalable and secure data pipelines using GCP-native services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Composer).

Develop ETL/ELT processes to ingest data from diverse sources including APIs, flat files, databases, and streaming sources. Build and maintain data lakes and data warehouses on GCP, ensuring schema optimization,

partitioning, and cost-efficiency. Create and manage batch and real-time data workflows using Cloud Composer (Apache Airflow) and Dataflow (Apache Beam).Data Management &

Governance Ensure data quality, integrity, and reliability through robust validation and monitoring frameworks. Implement best practices for data lineage, metadata management,

and data cataloging using tools like Data Catalog and Looker. Collaborate with data governance, security, and compliance teams to enforce data access controls and encryption.

Collaboration & Leadership Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.

Provide technical mentorship and code reviews for junior data engineers. Contribute to architecture reviews and technology evaluations for continuous improvement of the data platform.

Minimum Qualifications Bachelor"s or Master’s degree in Computer Science, Engineering, Information Systems,



or a related field.5+ years of experience in data engineering,

with at least 3+ years working extensively on GCP. Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.

Proven experience with GCP services such as: BigQueryDataflow / Apache BeamPub/ Sub Cloud Storage Cloud Composer (Airflow)Cloud Functions.

Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms. Solid understanding of data modeling, partitioning, and schema design for analytical workloads.

Familiarity with CI/CD practices, Terraform, and version control (e.g., Git).Preferred Qualifications GCP Qualified Data Engineer Certification or equivalent. Experience with Looker, dbt (data build tool), or similar data modeling tools.

Prior work with streaming data architectures and technologies such as Kafka, Spark Streaming, or Flink. Experience in data privacy, GDPR/CCPA compliance, and implementing data security at rest and in transit.

Exposure to DevOps and container orchestration tools (e.g., Kubernetes, Cloud Run).Strong analytical and problem-solving skills with attention to performance and scalability.

Soft Skills: Excellent communication and stakeholder engagement skills. Proven ability to work independently and lead complex projects end-to-end. Team-oriented mindset with a drive to mentor, document, and share knowledge.

📌 GCP Data engineer (Gurugram)
🏢 Deloitte Legal
📍 Gurugram