Indore, Madhya Pradesh, India
Information Technology
Full-Time
iKomet
Overview
Job Requirement
Expertise and Qualifications :
What do we expect?
As a Senior Data Engineer, you will work to solve some of the organizational 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 lead as demanded by each project to define, design, and deliver actionable insights.
On a Typical Day, You Might
Expertise and Qualifications :
What do we expect?
- 6+ years of experience in Data space.
- Decent SQL skills.
- Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)
- Real-time experience working in OLAP & OLTP database models (Dimensional models).
- Good 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).
As a Senior Data Engineer, you will work to solve some of the organizational 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 lead 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.
- Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.
- Use the Data Modelling tool to create appropriate data models.
- Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.
- Use version control to maintain versions of data models.
- Collaborate with Data Engineers to design and develop data extraction and integration code modules.
- Partner with the data engineers to strategize ingestion logic and consumption patterns.
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