Sr. Software Engineer - Data Engineer (Modeler)
Apply NowCompany: Keylent, Inc.
Location: Indianapolis, IN 46227
Description:
Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes
Who are we looking for?
Data Engineer (Modeler) is responsible for design, development and expansion of data assets that support business intelligence, advanced analytics, and reporting. They will also develop, maintain, and support the enterprise data warehouse system, corresponding data marts, and data interfaces between operational systems. This Data Engineer - modeler will analyze and review complex object and data models and the metadata repository to structure the processes and data for better management and efficient access. Create and maintain the data documentation and be the liaison between multiple team.
Key Job Responsibilities:
Supports corporate data assets.
Designs, reviews and maintains data models.
Partners with Area Data Steward on data asset attributes and definitions.
Follows established Data Architecture Framework and Guidelines for the design, development, management, storage, access, navigation, movement, transformation and quality of corporate data assets.
Performs the data analysis activities to capture data requirements clearly, completely and correctly, and represent them in a formal and visual way through the data models.
Creates semantically rich logical data models that define the Business data requirements and are independent of any technology solution (i.e. DBMS.)
Manages the life cycle of the data model from requirements to design to implementation to maintenance.
Looks for opportunities to provide data reuse, balancing the issues of centralization and replication.
Encourages the Business to manage data as an asset.
Ensures the preservation of strategic data assets as applications and technologies come and go.
Requires an in-depth understanding of the Business data needs and the ability to align those business needs with the overall Enterprise data vision.
Evaluates the use of data to the goals and practices of the Business in a way that provides clear results.
cts as a liaison, deducing the data needs of a particular project or group and explaining the importance and use of the data most relevant to them.
Helps ensure the accuracy and accessibility of all "important" data and is responsible for knowing what data is "important" and why.
Compiles and maintains the schema definition for physical data models.
Reviews all physical data models with data management committee before implementation.
ssists the ETL developers to help ensure that the Business data rules are implemented correctly and clarifies issues as they arise.
Requirements
5 to 8+ years of experience data modeling data solutions including but not limited to : ODS, Data Warehouse, Data Integration Hub, OLTP/OLAP, or equivalent knowledge
Core competency in: Relational DBMS (Oracle, SQL Server), Data modeling - ER Studio, CA Erwin or similar Entity Relationship tool.
Competent level of understanding of SQL, PL/SQL, SSIS, Stored Procedures, and API's of assigned modules
Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into backend structures.
Strong oral and written communication skills are required
Behavioral Skills:
Resource should have a good communication skill to interact and understand the new requirement.
Qualification:
Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes
Who are we looking for?
Data Engineer (Modeler) is responsible for design, development and expansion of data assets that support business intelligence, advanced analytics, and reporting. They will also develop, maintain, and support the enterprise data warehouse system, corresponding data marts, and data interfaces between operational systems. This Data Engineer - modeler will analyze and review complex object and data models and the metadata repository to structure the processes and data for better management and efficient access. Create and maintain the data documentation and be the liaison between multiple team.
Key Job Responsibilities:
Supports corporate data assets.
Designs, reviews and maintains data models.
Partners with Area Data Steward on data asset attributes and definitions.
Follows established Data Architecture Framework and Guidelines for the design, development, management, storage, access, navigation, movement, transformation and quality of corporate data assets.
Performs the data analysis activities to capture data requirements clearly, completely and correctly, and represent them in a formal and visual way through the data models.
Creates semantically rich logical data models that define the Business data requirements and are independent of any technology solution (i.e. DBMS.)
Manages the life cycle of the data model from requirements to design to implementation to maintenance.
Looks for opportunities to provide data reuse, balancing the issues of centralization and replication.
Encourages the Business to manage data as an asset.
Ensures the preservation of strategic data assets as applications and technologies come and go.
Requires an in-depth understanding of the Business data needs and the ability to align those business needs with the overall Enterprise data vision.
Evaluates the use of data to the goals and practices of the Business in a way that provides clear results.
cts as a liaison, deducing the data needs of a particular project or group and explaining the importance and use of the data most relevant to them.
Helps ensure the accuracy and accessibility of all "important" data and is responsible for knowing what data is "important" and why.
Compiles and maintains the schema definition for physical data models.
Reviews all physical data models with data management committee before implementation.
ssists the ETL developers to help ensure that the Business data rules are implemented correctly and clarifies issues as they arise.
Requirements
5 to 8+ years of experience data modeling data solutions including but not limited to : ODS, Data Warehouse, Data Integration Hub, OLTP/OLAP, or equivalent knowledge
Core competency in: Relational DBMS (Oracle, SQL Server), Data modeling - ER Studio, CA Erwin or similar Entity Relationship tool.
Competent level of understanding of SQL, PL/SQL, SSIS, Stored Procedures, and API's of assigned modules
Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into backend structures.
Strong oral and written communication skills are required
Behavioral Skills:
Resource should have a good communication skill to interact and understand the new requirement.
Qualification:
Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college