Tata Consultancy Services
Tata Consultancy Services

Data Engineer

Tata Consultancy Services
Bengaluru, KA, IN
Full-time5+ yrs
1d ago0 view0 clicked apply
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Job Description: Data Engineer (GCP | Python | Airflow | SQL | Looker Studio)

5+yrs of Exp

Role Summary

We are seeking a highly skilled Data Engineer to design, build, and manage scalable data platforms and pipelines on Google Cloud Platform (GCP). The role focuses on enabling data-driven decision-making by delivering robust data pipelines, optimized data models, and business-friendly visualizations.


Key Responsibilities

1. Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable ETL/ELT pipelines using Python, SQL, and GCP tools
  • Build batch and real-time data processing workflows
  • Automate data pipelines using Apache Airflow (Cloud Composer) for orchestration

2. Cloud Data Platform Management (GCP)

  • Develop and manage data solutions using BigQuery, Cloud Storage, Dataflow, and Pub/Sub
  • Implement scalable data warehousing and lakehouse architectures
  • Monitor and optimize cloud infrastructure performance, reliability, and cost

3. Data Modeling & Transformation

  • Design and implement logical and physical data models
  • Perform data cleansing, transformation, and aggregation for analytics readiness
  • Ensure high data quality, integrity, and consistency across systems [expertia.ai]

4. Analytics & Visualization Enablement

  • Enable business insights through dashboards using Looker Studio / LookML
  • Collaborate with analysts and business teams to define reporting requirements
  • Translate data into actionable insights for decision-making

5. Collaboration & Stakeholder Engagement

  • Work closely with data scientists, analysts, and business stakeholders to gather requirements
  • Provide data platform support and resolve data-related issues
  • Communicate technical solutions effectively to non-technical stakeholders

6. Data Governance, Security & Compliance

  • Implement data governance, access control, and security best practices
  • Ensure compliance with data privacy regulations and enterprise policies

7. Continuous Improvement & Optimization

  • Identify and implement performance optimizations across pipelines and databases
  • Introduce automation and best practices for DataOps and CI/CD
  • Stay updated with evolving GCP and data engineering technologies


Key Skills & Competencies

Technical Skills

  • Strong programming expertise in Python and SQL
  • Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
  • Workflow orchestration using Apache Airflow / Cloud Composer
  • Experience with ETL/ELT pipeline design and data warehousing
  • Visualization and reporting using Looker Studio / LookML

Functional & Process Skills

  • Strong understanding of data lifecycle (ingestion → transformation → analytics)
  • Expertise in data modeling, data integration, and pipeline optimization
  • Familiarity with Agile / DevOps practices in data engineering

Soft Skills

  • Strong analytical and problem-solving capabilities
  • Excellent communication and stakeholder management skills
  • Ability to work in cross-functional, global teams


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