Key Responsibilities

- Design, develop, and maintain scalable data pipelines and transformation workflows on Google Cloud Platform (GCP).

- Develop and optimize BigQuery datasets, procedures, views, and data models.

- Create and enhance dashboards and reporting solutions using SAP Analytics Cloud (SAC) or GCP Looker

- Perform data extraction, transformation, and loading (ETL/ELT) activities from multiple enterprise systems.

- Develop and maintain complex PL/SQL procedures, packages, functions, and performance-tuning solutions.

- Collaborate with business analysts, architects, and functional teams to translate business requirements into technical solutions.

- Support release management and deployment activities using DevOps practices and CI/CD pipelines.

- Ensure data quality, governance, security, and performance standards are met.

- Troubleshoot production issues and provide timely resolution.

- Participate in solution design reviews, code reviews, and technical documentation.

Required Skills





- Robust hands-on experience in GCP Data Engineering/Azure Data Bricks.

- Expertise in SQL and PL/SQL development and database performance tuning.

- Experience with SAP Analytics Cloud dashboard and reporting development.

- Experience working with BigQuery and cloud-based data warehousing solutions.

- Knowledge of ETL/ELT concepts and data modelling techniques.

- Experience with DevOps, CI/CD pipelines, source control, and release management practices.

- Strong analytical, problem-solving, stakeholder-management, and communication skills.

- Ability to work effectively in an Agile delivery environment.

Preferred Skills

- Experience with GCP Looker or Looker Studio.

- Basic understanding of SAP Materials Management (SAP MM) processes and data structures.

- Exposure to SAP Datasphere, SAP BW/4HANA, or SAP S/4HANA.

- Experience in Supply Chain, Procurement, Logistics, or Analytics domains.

📌 Senior Data Engineer / Analytics Engineer (Pune)
🏢 LanceSoft
📍 Pune