À propos
We are seeking a Senior Data Engineer to build scalable data solutions within a highly collaborative technology team. The role focuses on Oracle PL/SQL, SQL scripting, ETL with Informatica, and data warehousing with Snowflake as well as Python/Java API. The position values collaborative delivery, sound data modeling, in this role, you will design, build, and optimize scalable data solutions that power analytics platforms. You’ll work closely with cross‑functional partners in an Agile environment, with a strong emphasis on quality, performance, and continuous improvement.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $55.00 to $60.00/hr. w2
Responsibilities
Design, develop, and maintain robust data engineering solutions that support enterprise‑scale analytics and reporting
Build and optimize
Oracle PL/SQL
code, complex SQL scripts, and database objects with a focus on performance tuning
Develop and support
ETL workflows , primarily using
Informatica , to move and transform large datasets
Contribute to
data warehouse and data mart
solutions, including platforms such as
Snowflake
Apply strong
data modeling
techniques, including quantitative and multi‑dimensional analysis
Analyze data to identify gaps, trends, and quality issues, and propose effective technical solutions
Partner with product owners, analysts, and engineers to deliver high‑quality, scalable data solutions
Participate in Agile ceremonies and contribute to iterative development using SCRUM or Kanban practices
Support DevOps and CI/CD practices to improve reliability and deployment efficiency
Experience Requirements 6+ years of proven experience developing high‑quality data engineering solutions. Prior software development experience within the financial services industry is highly desired as well as:
Strong expertise in:
Oracle PL/SQL and advanced SQL scripting
Database performance tuning and optimization
Data warehousing concepts and implementations (e.g., Snowflake)
Demonstrated ability to independently assess technical challenges, evaluate impact, and deliver innovative solutions
Excellent analytical, problem‑solving, and communication skills
Agile delivery experience with Kanban or Scrum (preferred).
Beginner proficiency with Java, Python, REST APIs, and AWS (preferred).
Nice to Have
Beginner to intermediate experience with
Java, Python, REST APIs, and AWS
Experience with
DevOps and CI/CD tools
such as Maven, Jenkins, Git, and Docker
Hands‑on experience working in
Agile
development environments
Education Requirements Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
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Compétences linguistiques
- English
Avis aux utilisateurs
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