Data Modeler

3 days ago

Pune, India Pplability INC Full time

Senior Data Engineer - Data Modelling

Chennai, Hyderabad, Bangalore, Pune, Delhi

Experience Required: 6+ yr's

Budget: 29.5 lpa - 32lpa max

Notice: Immediate to 30 days max. (30 days if currently serving)

(Please check the budget and Notice period before applying and proceed only if your expectations align with the given budget & Notice period)

JOB DESCRIPTION

Job Title: Senior Data Engineer-Data Modeling

Mandatory Skills:

  • Candidate should be mainly into Data Modeling - Data modeling tools (Erwin, oracle SQL data modeler, SQL data modeler, Toad, etc.) Anyone or two tools
  • ER modelling.
  • Normalization techniques.
  • schemas -star and snowflake.
  • Relational modelling.
  • OLAP and OLTP
  • SQL concepts and queries.
  • Data warehouse- facts and dimensions- top down and bottom-up approaches.

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

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. · Contribute to Data Modeling accelerators · 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. · 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.

EXPERTISE AND QUALIFICATIONS

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).

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