Data Engineer

Data Engineer

Analytics Associates - St. Petersburg, FL 33701 Posted: 13th Jun 2020
  • Compensation: 120,000 USD to 125,000 USD Annually
  • Benefits Offered:Health Care Coverage, 401k
  • Job Shift:Day Hours
  • Employment Type:Full Time
  • Job Location:Onsite - 1580 Jungle Ave N, St. Petersburg, FL 33701
Job Description:

Who You Are And What You'll Do

The data engineer will work as part of the data services team reporting to the Director Data Management. They will be primarily responsible for implementing ETL/ELT processes that populate Kimball style star schemas using a variety of source data on multiple data warehouse implementations supporting a product. They will also participate in the requirements gathering process and assist with designing the business processes and dimensional models. The candidate will have a deep understanding of both OLTP and star schemas with OLAP being a huge plus. Further, they will do deep analysis on source data to determine the feasibility of using this data to solve business needs. The resulting processes should be scalable, efficient, audited and as re-usable as possible.

What You'll Do Day To Day

• Production support

• Develop, design, tune and maintain ETL/ELT processes.

• Design and develop stored procedures, functions, views and triggers to be used during the ETL process.

• Perform data profiling and source to target mappings (while capturing ETL and business metadata) for populating Kimball style dimensional models.

• Write scripts for automated testing of data in the target facts and dimensions.

• Capture audit information during all phases of the ETL process.

• Write and maintain documentation of the ETL processes via process flow diagrams.

• Conduct appropriate functional and performance testing to identify bottlenecks and data quality issues.

• Be able to implement slowly changing dimensions as well as transaction, accumulating snapshot, and periodic snapshot fact tables.

• Collaborate with business users, other data services team members, and other developers throughout the organization to facilitate everyone's understanding of issues that affect the data warehouse.

• Query optimization

 

Knowledge, Skills and Experience That You Will Need to Be Successful in This Role:

• 3-5 years of experience with data warehousing and business intelligence projects

• 5+ years of experience with relational databases (SQL Server or Oracle)

• 3-5 years of experience with SSIS

• Experience pulling data from a variety of data source types (Postgres a plus)

• Dimensional modeling experience preferably with a modeling tool such as Toad Data Modeler, ERwin, Embarcadero, ER/Studio Data Architect etc.

• Experience working with large data sets, tables containing greater than a billion rows

• Experience developing SSIS packages to load slowly changing dimensions.

• Experience supporting and troubleshooting production ETL process issues.

• Strong experience working with T-SQL and query optimization

Additional Knowledge, Skills and Experience That Will Help You Stand out as a Candidate:

• Familiarity with the Kimball lifecycle

• Experience with OLAP is strongly preferred. SSAS and DAX knowledge is highly desirable

• Big Data experience a plus

• Cloud experience with Azure or OCI

• Experience with SQL 2017-2019 and the Microsoft BI stack

• Snowflake

• Oracle 12c and above

• Python


1580 Jungle Ave N

St. Petersburg, FL 33701

USA