Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQuery Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Key Responsibilities Data Pipeline Development Design and implement robust, scalable batch and streaming data pipelines using Python and GCP services. Build and maintain data transformation workflows in Dataform (SQLX) integrated with BigQuery. Develop event-driven and real-time data processing solutions using Pub/Sub and Cloud Functions / Cloud Run. Manage large-scale structured and unstructured data stored in GCS, BigQuery, and Cloud Spanner. Python & Google SDK Write clean, well-structured Python code leveraging GCP client libraries (google-cloud-bigquery, google-cloud-storage, google-cloud-pubsub, google-cloud-spanner, etc.). Develop reusable Python modules, utilities, and SDKs for internal data platform tooling. Ensure all code meets quality standards through thorough unit testing with pytest and code reviews. Infrastructure & DevOps Provision and manage GCP infrastructure using Terraform, following infrastructure-as-code (IaC) best practices. Maintain CI/CD pipelines in GitLab for automated testing, linting, and deployment of data workloads. Understanding of monitoring, alerting, and observability for data pipelines and GCP resources. Manage containerised workloads on Cloud Run, including Dockerfiles and container registries. Skills 5+ years of experience in data engineering with at least 2 years on GCP. Strong Python programming skills — clean code, OOP, packaging, and performance optimization. Hands-on experience with BigQuery: query optimization, partitioning, clustering, and data modelling. Experience with Pub/Sub for event-driven architectures and streaming ingestion. Proficiency in Cloud Run and/or Cloud Functions for serverless and containerized workloads. Experience writing unit tests with pytest — mocking, fixtures, coverage reporting. Hands-on Terraform experience for GCP resource provisioning (projects, IAM, networking, data services). Experience with GitLab CI/CD — pipeline authoring, environment management, secrets handling. Solid understanding of GCS for data lake patterns — file formats (Parquet, Avro, JSON), lifecycle policies. Nice to Have Experience with Dataform for SQL-based transformation pipelines in BigQuery. Familiarity with Cloud Spanner for globally distributed relational workloads. Knowledge of data mesh or data lakehouse architecture patterns. Knowledge/Experience with Apache Beam / Dataflow for large-scale streaming or batch processing. GCP Professional Data Engineer or Cloud Architect certification. Familiarity with Apache Airflow / Cloud Composer, or similar orchestration tools. Additional Information: - The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.