Job description
Data Engineer (Santander)
Location : Dallas, TX, USA
Conditions : Hybrid position - 2 days a week on-site at 1601 Elm Street in Dallas.
VISA : Only USC or GC holder will be considered
Salaries : Open to Negotiate , depend on the posicion and level of Seniority could go from 50,000 to 105,000 USA$ year + Benefits
Duration: Possibility of extension or FTE
MUST : Previous Experience on finance, banking is a PLUS
Responsibilities:
- Establish Data Engineering architecture strategy, best practices, standards, and roadmap
- Experience developing ETL Pipeline using Python, Snowflake and IDMC.
- Experience with loading batch data and streaming data via Kafka
- Build Data Flows mapping Source systems and Process flows.
- Assemble large, complex data sets that meet non-functional and functional business requirements
- Mentor team members on best practices, efficient implementations and delivering high quality data products
- Lead onshore and offshore teams
- Perform code reviews and assist developers in optimization and troubleshooting.
- Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
- Knowledge in AWS and management technologies such as S3
Must Haves:
- 5-10 years of experience within data engineering
- Python experience
- Snowflake experience (developing ETL pipelines)
- IDMC (intelligent data management cloud) experience
- Knowledge of AWS
Plusses: Kafka experience (loading batch and streaming data)
Location: Candidates must be local to the Dallas area and open to going on-site - not open to seeing non-local and/or remote candidates.
Interview Process: 2 interviews to hire
Job Type: Full-time
Salary: $50,000.00 - $105,000.00 per year
Benefits:
- Health insurance
Compensation package:
- Bonus pay
Experience level:
- 5 years
Schedule:
- Monday to Friday
Experience:
- ETL: 6 years (Preferred)
- IDMC (intelligent data management cloud): 5 years (Preferred)
- AWS: 5 years (Preferred)
- Python: 6 years (Preferred)
- Snowflake: 6 years (Preferred)
Work Location: In person