Data Engineer

Direct Client Requirement
Role: Data Engineer
Location: Jersey City, NJ
Duration: FTE/Permanent
Description
Our client is looking for a talented and experienced developer to join our development team to support the continued development of our analytics platforms. Besides regular individual contributions, Data Engineers are expected to be deep technical experts in our tech stack and have a breadth of knowledge and experience on technology trends in the industry. Above all else, we are looking for a team member who is motivated to achieve results, have high standards of quality, and possess a flexible entrepreneurial spirit when faced with scope change. Be prepared to join a fast-moving team.
Key responsibilities:

• Design and develop next generation Client and Corporate applications analytics platforms.
• Work closely with business partners and as analysts to understand the data requirements, analyze & design the necessary data flows and database design.
• Developing systems for downloading data from various internal and external sources
• Developing robust quality control processing, monitoring and workflow dashboards
• Integration of risk and quantitative models
• Simplification and automation of existing manual processes
• Provide support for overnight batch jobs.
• Works closely with a team of frontend and backend engineers, product managers and analysts

• The Client and Corporate Applications analytics technology team is currently making a significant investment in building out analytics & insight-based platforms. This platform is a strategic initiative for the business, and the candidate will be given significant opportunities to make contributions at the ground-level.
• The candidate will have an opportunity to work alongside an established team of developers, data analysts and product owners to create analytics platform providing value to Sales, Finance, Human Capital Management and Client Life cycle business teams.
• The candidate will work closely with business and product owners with an opportunity to broaden their financial knowledge across asset classes, markets segments and products

• Bachelors or master's in Computer Science, Engineering, Physics, Math, or related work experience
• 5+ years of experience programming in SQL queries, stored procedures, query optimization performance tuning (Microsoft SQL Server, PostgreSQL or Oracle)
• 4+ years of experience in Python
• 3+ years of hands-on data architecture and data modelling experience
• 2+ years of Core Java experience
• 2+ years of experience building highly scalable data solutions using Snowflake, Hadoop, Spark, Databricks
• 2+ years of experience working in cloud environments (AWS and/or Azure)
• Create and maintain Conceptual, Logical and Physical data models
• Experience in architecting, designing, integrating, and understanding the characteristics and specificities of data-intensive systems
• Identify opportunities to reuse data and reduce redundancy across the enterprise
• Experience with Git/GitHub
• Good knowledge with DevOps tools like DevOps – Jira, Confluence and CI/CD pipelines (Jenkins)

• Strong analytical skills
• Candidate must be willing to take full ownership of projects, covering discovery, analysis, technical design and implementation, testing, and deployment tasks
• Must demonstrate good communication skills and be comfortable working closely with senior business partners, product owners and in cross-functional teams
• A strong desire to document and share work done to aid in long term support
• Candidate must be a self-starter, a dependable partner, and team player

• Experience working in the finance industry
• Experience with market data vendors - Bloomberg, Markit, ICE/Client, Client, Intex, KBRA
• Experience working on distributed system and handling & processing of large-scale data (trades, risk, market data etc.)