Job Title - Lead Data Engineer – Specialist - ACS SONG Management Level: Level 9 - Specialist Location: Kochi, Coimbatore, Trivandrum Must have skills: GCP services, BigQuery, Python, and SQL.

Good to have skills: BI and Analytical Tool Experience: 5 -8 years of experience is required Educational Qualification: Graduation Job Summary We are seeking a Lead Data Engineer specializing in Google Cloud Platform (GCP) and BigQuery with 5+ years of experience in data engineering, cloud-based data platforms, data pipelines, SQL development, and large-scale data processing. The role will focus on designing, developing, and optimizing scalable data pipelines and analytics solutions using BigQuery and other GCP data services.

Roles and Responsibilities - The ideal candidate should have strong hands-on experience with BigQuery, Python, SQL, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer, along with a solid understanding of ETL/ELT, data warehouse, data lake, and modern cloud data architecture principles.

- This position requires the ability to independently design and deliver production-grade data solutions, optimize performance and cost, troubleshoot complex data issues, and collaborate closely with architects, data scientists, analysts, application teams, and business stakeholders.
- Design, develop, and maintain scalable data pipelines and data processing solutions using GCP services, BigQuery, Python, and SQL.
- Build reliable and high-performance data transformation and integration workflows supporting reporting, analytics, machine learning, and downstream business applications.
- Drive improvements in data quality, pipeline performance, BigQuery optimization, cost efficiency, monitoring, security, and production stability.




- Provide technical guidance and contribute to the adoption of up-to-date GCP data engineering architecture, standards, and development best practices.
- Design, develop, and maintain batch and real-time data pipelines using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Python, and SQL.
- Develop ETL/ELT solutions for ingesting, transforming, and integrating structured, semi-structured, and unstructured data from multiple source systems.
- Design and maintain scalable BigQuery datasets, tables, views, materialized views, partitioning, clustering, and data models for analytics and reporting workloads.
- Optimize BigQuery SQL queries, storage structures, data processing workloads, and pipeline architecture to improve performance and control cloud consumption costs.
- Build and maintain batch and streaming data processing solutions using services such as Dataflow, Pub/Sub, Dataproc, and BigQuery.
- Design curated data layers, reusable datasets, and data models supporting enterprise analytics, BI, machine learning, and downstream applications.
- Implement data validation, reconciliation, data quality checks, error handling, lineage, monitoring, alerting, and operational controls.
- Orchestrate data pipelines and workflows using Cloud Composer / Apache Airflow, Workflows, or equivalent orchestration technologies.
- Collaborate with solution architects, data architects, data scientists, analysts, application teams, and business stakeholders to translate requirements into scalable technical solutions.
- · Follow and promote engineering best practices covering Git-based development, automated testing, CI/CD, Infrastructure as Code, documentation, monitoring, security, and production support.

📌 Lead Data Engineer (Kochi)
🏢 Accenture
📍 Kochi