Senior Data Engineer - Kforce Inc.
Mooresville, NC 28117
About the Job
- Translates complex cross-functional business requirements and functional specifications into logical program designs, code modules, stable application systems, and data solutions; Partners with Product Team to understand business needs and functional specifications
- Coordinates, executes, and participates in component integration (CIT) scenarios, systems integration testing (SIT), and user acceptance testing (UAT) to identify application errors and to ensure quality software deployment
- Executes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure; Demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capability
- Builds, tests, and enhances data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs, and streaming systems for various KPIs and metrics development with high data quality and integrity
- Responsible for the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure; Creates level metrics and other complex metrics; Use custom groups, consolidations, drilling, and complex filters
- Demonstrates database skill (Teradata/Oracle/Db2/Hadoop) by writing views for business requirements; Uses freeform SQLs and pass-through functions; Analyzes and finds errors from SQL generation; Creates RSD and dashboard
- Responsible for building, testing and enhancement of BI solutions from a wide variety of sources like Teradata, Hive, HBase, Google Big Query and File systems; Develops solutions with optimized data performance and data security
Requirements:
- Bachelor's degree in Engineering /Computer Science, CIS, or related field (or equivalent work experience in a related field)
- 5 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering
- 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
- Agile Development
- Big Data Management and Analytics
- Cloud Computing
- Database Design (Physical)
- Release Management
- Apache Spark
- Scala
- Python
- Airflow
- PySpark
- GCP Exposure (DataProc, GCS, BigQuery)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.