Senior Data Engineer

R Systems; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading technology firm in India is looking for a skilled Data Engineer to design and implement data solutions using Google Cloud Platform (GCP) and SAP data integration. The ideal candidate will lead the development of ETL/ELT pipelines and work closely with teams to ensure robust data management solutions. Candidates should have 4-6 years of experience with SAP data integration and a strong background in SQL and Python programming. This position offers the opportunity to innovate in a collaborative environment.

Qualifications

• 4-6 years of experience in GCP BigQuery and related tools.
• Expertise in SQL and Python programming.
• Hands-on experience with SAP data integration.

Responsibilities

• Lead a team to build ETL/ELT pipelines for data integration.
• Design data solutions on GCP using various tools.
• Manage migrations of SAP datasets to GCP.

Skills

GCP BigQuery

Python programming

SQL

SAP data extraction

Data governance

ETL/ELT pipelines

DevOps tools

Tools

Apache Airflow

Google Cloud Platform

Boomi

Job description

We are seeking a highly skilled Google Cloud Platform (GCP) Data engineer role with SAP data integration expertise to design, implement, and oversee enterprise-grade data solutions. The ideal candidate will combine deep expertise in cloud data platforms, data governance, security, and data modeling with hands‑on experience in ETL/ELT pipelines, SAP data extraction, system migrations, and analytics. This role will collaborate with business stakeholders, and engineering teams to create a robust, scalable, and cost-effective data ecosystem that bridges SAP and GCP environments.

Key Responsibilities

• Lead and mentor a team of data engineers in building ETL/ELT pipelines for SAP and other ERP sources into GCP
• Set engineering standards, best practices, and coding guidelines.
• Provide technical direction, code reviews, and support for complex data solutions.
• Collaborate with project managers, provide the estimates, track the progress, remove roadblocks to ensure timely completion of work.
• Collaborate with BI teams, Data analyst to enable reporting solution.
• Design conceptual, logical, and physical data models to support analytics and operational workloads.
• Implement star, snowflake, and data vault models for analytical systems.
• Design data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc.
• Design and orchestrate ETL/ELT pipelines using Apache Airflow (Cloud Composer), and Dataflow
• Integrate data from multiple systems including SAP BW, SAP HANA, Business Objects using tools like SAP SLT, or Google Cortex Framework.
• Leverage integration tools such as Boomi for system interoperability.

5. Programming & Analytics

• Develop complex SQL queries for analytics, transformations, and performance tuning.
• Build automation scripts and utilities in Python.

6. System Migration

• Lead on‑premise to cloud migrations for enterprise data platforms [SAP BW/Bobj]
• Manage migration of SAP datasets to GCP ensuring data integrity and minimal downtime.

8. DevOps for Data

• Implement CI/CD pipelines for data workflows using GitHub Actions, Cloud Build, and Terraform.
• Apply infrastructure‑as‑code principles for reproducible and scalable deployments.
• Design and develop conceptual, logical, and physical data models for enterprise systems.
• Translate business requirements into data entities, attributes, relationships, and constraints.
• Build and maintain dimensional models (Star/Snowflake schema) for data warehouses and BI reporting.
• Develop data models for data lake / lakehouse environments (BigQuery, Snowflake, Azure Synapse, Databricks).
• Define and document data standards, naming conventions, and data definitions.
• Collaborate with Data Engineering teams to ensure models are implemented accurately in ETL/ELT pipelines.
• Work with BI teams to optimize models for reporting tools such as Power BI, Tableau, SAP BW, etc.
• Ensure data models comply with data governance, security, and compliance requirements.
• Create and maintain documentation including ERDs, data dictionaries, and lineage diagrams

Preferred Skills

• 4-6 years of proven experience with GCP BigQuery, Composer, Cloud Storage, Pub/Sub, Dataflow.
• Strong SQL and Python programming skills.
• Hands‑on experience with SAP data extraction, modeling, and integration from ERP, BW, and/or HANA systems.
• Knowledge of data governance frameworks and security best practices.
• Familiarity with DevOps tools for data.
• Understanding of Google Cortex Framework for SAP-GCP integrations.