Bachelor s degree in Computer Science or similar field or equivalent work experience.
3+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.
Expert with data warehousing concepts, strategies, and tools.
Strong SQL background.
Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.
Solid experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS
Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).
Knowledge of AWS and Azure Cloud is a plus.
Experience in Informatica Power exchange for Mainframe, Salesforce, and other current-age data sources.
Experience in integration using APIs, XML, JSONs etc.
In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes
Positive understanding of SDLC, Agile and Scrum processes.
Strong problem-solving, multi-tasking, and organizational skills.




Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.
Good written and verbal communication skills.
Demonstrated experience of leading a team spread across multiple locations.

Role & Responsibilities:
Work with business users and other stakeholders to understand business processes.
Ability to design and implement Dimensional and Fact tables
Identify and implement data transformation/cleansing requirements
Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
Provide rese

📌 Senior Data Engineer Bengaluru
🏢 Quantiphi Analytics Solutions
📍 Bengaluru