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Kochi · On-site · 5-8 Yrs · Oct 2
1 views
21 open roles4 posted in 7d21 in 30d
Hiring: Engineering
Job description
Overview
Job Title - Lead Data Engineer – Specialist - ACS SONG
Responsibilities
- 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 modern 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.
- Strong hands-on experience designing and implementing data solutions on Google Cloud Platform (GCP).
- Strong production experience with Google BigQuery for enterprise data warehousing, analytics, and large-scale data processing.
- Experience designing and supporting production-grade batch and/or streaming data pipelines.
- Experience working with large datasets and building scalable, reliable, and high-performance cloud data solutions.
- Strong expertise in Google BigQuery, including SQL development, partitioning, clustering, materialized views, optimization techniques, query execution analysis, and cost management.
- Strong programming experience in Python for data processing, pipeline development, automation, and integration.
- Advanced SQL skills, including complex joins, aggregations, CTEs, window functions, analytical queries, query optimization, and troubleshooting.
- Hands-on experience with GCP data services such as: • BigQuery
- Google Cloud Storage
- Dataflow
- Pub/Sub
- Dataproc
- Cloud Composer / Apache Airflow
- Good understanding of batch processing, real-time/streaming architecture, ETL/ELT patterns, data lakes, data warehouses, and modern cloud data platforms.
- Experience designing dimensional, analytical, and curated data models supporting reporting, BI, analytics, and machine learning use cases.
Education
- 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.
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Job application FAQ
Last updated 21 October 2026
- How do I apply for Lead Data Engineer 2 at Accenture?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Accenture may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Engineer 2 role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Engineer 2 remote or on-site in Kochi, Keralam?
- This listing is marked on_site with location Kochi, Keralam. Confirm details on the job description before applying.
- What skills matter for this Lead Data Engineer 2 role at Accenture?
- This is a lead Lead Data Engineer 2 role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.