Job highlights

- . Frameworks & Reusability . Design and build reusable frameworks for ingesting different data patterns (batch,streaming,CDC,etc
- Deploy and manage data workloads on GKE or other GCP compute services where required
- Required Experience
- Relevant Experience: Minimum 3+ years working on GCP-based data engineering projects. Must-Have Skills (Primary)

We are looking for an experienced GCP Data Engineer with strong hands-on expertise in Python, BigQuery, Dataflow, and Cloud Composer . In this role, you will design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) , working closely with business and technology teams to enable reliable data migration, transformation, and analytics use cases.

Roles Responsibilities

- Design & Develop Data Pipelines
- Design, develop, and maintain scalable, secure, and reliable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, GCS, etc.).
- Build end-to-end data ingestion and transformation workflows from various source systems (databases, APIs, flat files, etc.).
- Data Migration & Onboarding
- Work with client business and technical teams to build complex data migration pipelines and seamlessly onboard new data products to the GCP environment.
- Streamline and optimize data migration workflows to add measurable value to client data hubs and analytics platforms.
- Data Transformation & Curation
- Build robust ETL/ELT processes to cleanse, transform, and curate data into analytics-ready datasets and views.
- Ensure data quality, integrity, and consistency across stages with proper validation, logging, and monitoring.
- Frameworks & Reusability




- Design and build reusable frameworks for ingesting different data patterns (batch, streaming, CDC, etc.), reducing time-to-market for new data products.
- Create and maintain technical documentation for pipelines, frameworks, and processes.
- Collaboration & Agile Delivery
- Work in an agile environment , participating in sprint planning, daily stand-ups, and retrospectives.
- Collaborate with data architects, analysts, SMEs, and business stakeholders to translate requirements into scalable data solutions.
- Deployment, CI/CD & Operations
- Use tools like Spinnaker, Jenkins, and Git to implement CI/CD for data pipelines and related components.
- Deploy and manage data workloads on GKE or other GCP compute services where required.
- Monitor performance, optimize SQL queries and pipeline performance, and troubleshoot issues in production.

Required Experience

- Total Experience: 46 years in data engineering / ETL / big data roles.
- Relevant Experience: Minimum 3+ years working on GCP-based data engineering projects.

Must-Have Skills (Primary)

- Python (OOPs concept): Solid programming skills with clean, modular, and testable code.

- GCP Data Services
- Dataflow (or Apache Beam) for building scalable data pipelines.
- Cloud Composer (Airflow) for workflow orchestration and scheduling.
- BigQuery for data warehousing,



analytics, and performance-optimized SQL.
- Strong understanding of ETL/ELT concepts , data integration patterns, and data warehousing fundamentals.

Secondary Skills (Good Working Knowledge)

- Agile methodologies (Scrum/Kanban) working in sprint-based delivery.
- Spinnaker for deployments in GCP environments.
- Jenkins for building CI/CD pipelines.
- Git version control and collaborative development.
- GKE (Google Kubernetes Engine) understanding of containerized workloads and orchestration.

Nice-to-Have Skills (Preferred, Not Mandatory)

- Data Modelling Basics star/snowflake schemas, dimensional modelling, understanding of fact and dimension tables.
- Tableau Basics exposure to building or supporting dashboards and BI analytics.
- SQL Performance Tuning experience optimizing complex queries and improving BigQuery performance.

Educational Qualification

- B.Tech / B.E. / M.Tech / MCA or equivalent degree in Computer Science, IT, Data Engineering, or related fields .

Desired Candidate Profile

- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently as well as part of a collaborative, cross-functional team.
- Good communication skills to interact with both technical and non-technical stakeholders.
- Proactive mindset with a focus on automation, reusability, and continuous improvement .

Job Category: Software Development

Job Type: Full Time

Job Location: Hyderabad

Experience: 4 to 6 years

Reimagine your business with Religent Systems, your one-stop shop for a seamless digital transformation and Automation.

📌 GCP Data Engineer (Hyderabad)
🏢 Religent Systems
📍 Hyderabad