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.
Robust analytical, problem-solving, stakeholder-management, and communication skills.
Ability to work effectively in an Agile delivery setting.

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