Curious about the role? What your typical day would look like?

As a Senior Data Engineer, you will work to solve some of the most complex and captivating data management problems that

would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member,

and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might

● Engage the clients & understand the business requirements to translate those into data

models.

● Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying

best practices to provide business insights.

● Create and maintain the Source to Target Data Mapping document that includes

documentation of all entities, attributes, data relationships, primary and foreign key

structures, allowed values, codes, business rules, glossary terms, etc.

● Gather and publish Data Dictionaries

● Involve in maintaining data models as well as capturing data models from existing

databases and recording descriptive information.

● Build data warehouse & data marts (on Cloud) while performing data profiling and quality

analysis.

● Use version control to maintain versions of data models.

● Design and develop data extraction and integration code modules.

● Partner with the data engineers to strategize ingestion logic, and consumption patterns.

EXPERTISE AND QUALIFICATIONS

What do we expect?

● 6+ years of experience in Data space.

● Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)

● Real-time experience working in OLAP & OLTP database models (Dimensional models).

● Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling.

Also, on any ETL tool, Data Governance, and Data quality.

● Eye to analyze data & comfortable with following agile methodology.

● Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)