We are looking for a Data Engineer Senior who enjoys data and building data platforms. Our ideal candidate is passionate about data management and partners closely with various stakeholders to influence decisions with data in making key business decisions in a timely manner.
You will be part of a group that supports a variety of internal customers. You will analyze, design, and develop data storage and data analytic solutions using data lake patterns, that help our customers run more effective operations and make better business decisions.

Our Impact:

• We build various data governance solutions which run as cohesive unit within the overall data platform strategy.
• We bring pioneering technology to bear on business challenges to delight and excite our customers.
• We collaborate with other IT teams to advance our technical capabilities.
• We live to automate and optimize processes and technologies.

Your Impact:

• As a Senior Data Engineer, you are expected to work under limited direction and independently determine and develop approaches to solution. Understand requirements and design for the build and deployment.
• Scrum/agile based development and maintain efficient data pipelines and ETL process for large-scale data integration.
• Collaborate with data analysts and other engineer to define data needs and build solution that drive business insights.
• Develop, test, and deploy code for data extraction, transformation and loading processes (ETL/ELT).
• Develop and maintain automated test scripts using Pytest to ensure high-quality software releases.
• You will be a mentor and bring up-to-speed junior resources and consultants on technologies/products that the team works on and Represent and Demonstrate your team’s work to customers.
• Will demonstrate your coaching and mentoring skills to help teams continuously grow and improve in delivering high quality software solutions.
• Support line of business areas with more advanced statistical and quantitative analysis. Ability to run models, look for exceptions and take corrective actions where necessary.
• Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models.
• Release Support: Work closely with internal/external teams to help with the release process, ensuring smooth and error-free releases to production.
• Interact directly with customers to gather feedback, troubleshoot issues, and ensure that the product meets their expectations.

Qualifications:

• Bachelor’s degree in computer science or related discipline; advanced Studies/ Degree preferred.
• 5-7 years of experience in data engineering with strong proficiency in Python programing language (Nice to have: Scala, Java).
• Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Snowflake cloud-base warehousing).
• Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs
• Experience with cloud platform AWS (EMR, EKS, Lambda).
• Experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R
• Solid understanding of SDLC practices including development, testing, and release management.
• Experience with version control systems such as Git, BitBucket
• Experience with RESTful API design and development.
• Familiarity with PySpark for large-scale data processing and analysis.

Keys to Success in this Role:

• Ability to use data to help inform strategy and direction.
• Ability to translate complex statistical models and methodologies into simple business terms.
• Help with pytests, testing frameworks, SDLC expertise.
• Help with data modeling, data engineering efforts, proper python expertise
• Interact with customers and stay on top of issues, understand our platform, and debug issues.
• Help with talend, control-m, APIs.
• Hands-on help with our team release, customer release etc.
• Pyspark, spark, sql knowledge.
• Strong leadership, planning and communication skills.

RiskSpan is a leading source of analytics, modeling, data and risk management solutions for the Consumer and Institutional Finance industries. We solve business problems for clients such as banks, mortgage-backed and asset-backed securities issuers, equity and fixed-income portfolio managers, servicers, and regulators that require our expertise in the market risk, credit risk, operational risk and information technology domains.
RiskSpan is proud to be an Equal Opportunity/Affirmative Action employer committed to hiring a diverse workforce and sustaining an inclusive culture. Qualified candidates must be legally authorized to be employed in the United States on an unrestricted basis

• Ability to use data to help inform strategy and direction.
• Ability to translate complex statistical models and methodologies into simple business terms.
• Help with pytests, testing frameworks, SDLC expertise.
• Help with data modeling, data engineering efforts, proper python expertise
• Interact with customers and stay on top of issues, understand our platform, and debug issues.
• Help with talend, control-m, APIs.
• Hands-on help with our team release, customer release etc.
• Pyspark, spark, sql knowledge.
• Strong leadership, planning and communication skills