L
Lead Data Engineer
Aligarh · On-site Full-time Lead 2w ago
About the role
It looks like you’ve pasted a detailed job description for a senior GCP Data Engineer with SAP integration expertise. How can I assist you with this?
- Resume / CV – I can help you tailor a resume that highlights the exact skills, experiences, and achievements the role is looking for.
- Cover letter – I can draft a compelling cover letter that ties your background to each of the key responsibilities and preferred skills.
- Interview preparation – I can provide a list of likely technical and behavioral interview questions (e.g., BigQuery performance tuning, SAP SLT data extraction, Cloud Composer orchestration) along with strong answer frameworks.
- Technical sample – If you need a code snippet, architecture diagram, or a short design document (e.g., end‑to‑end SAP → GCP pipeline using Dataflow & BigQuery), I can create one.
- Project proposal – I can outline a high‑level migration or data‑lake implementation plan that demonstrates the architecture, governance, cost‑optimization, and CI/CD approach the role expects.
Just let me know which deliverable (or combination of them) you’d like, and I’ll get started right away!
Requirements
- Google Cloud Platform (GCP) Data Engineer with SAP data integration expertise
- Deep expertise in cloud data platforms, data governance, security, and data modeling
- Hands-on experience in ETL/ELT pipelines, SAP data extraction, system migrations, and analytics
- Collaboration with business stakeholders and engineering teams is essential
- 8-10 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
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 estimates, track progress, and remove roadblocks to ensure timely completion of work
- Collaborate with BI teams and Data analysts to enable reporting solutions
- 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
- Implement cost optimization strategies for GCP workloads
- 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
- Develop complex SQL queries for analytics, transformations, and performance tuning
- Build automation scripts and utilities in Python
- 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
- 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.
- 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
Skills
Apache AirflowBigQueryBoomiCloud BuildCloud ComposerCloud StorageDatabricksDataflowDataprocGitHub ActionsGoogle Cortex FrameworkGCPOraclePower BIPythonPub/SubSalesforceSAPSAP BWSAP HANASAP SLTSnowflakeSQLTableauTerraformAzure Synapse
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free