Senior Data Engineer

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.

2. Data Architecture & Modeling

Design

conceptual, logical, and physical data models

to support analytics and operational workloads. Implement

star, snowflake, and data vault models

for analytical systems.

3. Google Cloud Platform Expertise

Design

data solutions on GCP

using BigQuery, Cloud Storage, Dataflow, and Dataproc. Implement

cost optimization strategies

for GCP workloads.

4. Data Pipelines & Integration

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.

9. Data Modelling

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. Support integration across multiple source systems (SAP, Salesforce, Oracle, 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.