Data Engineer

job summary:

TOP REQUIREMENTS:

• Java

• Python

• API

• Azure

• Snowflake

Qualifications:

• Proven experience in leading the design and development of large-scale data platform

• Proven experience as a full stack developer or similar role

• Expertise in data platform technologies snowflake Azure SQL Server

• Proficiency in data engineering tools and frameworks Apache Kafka Spark

• strong understanding of cloud platforms Azure and containerization Docker Kubernetes

• Experience with both batch and Realtime data processing

• Deep knowledge of SQL and programming languages JAVA Python

• strong Problem-solving communication and leadership skills

• Experience of code deployments using CICD Pipelines

• Proficiency with code repos GitHub

• Knowledge and experience developing restful APIs

• Certifications in Snowflake Azure

• Experience in Alternatives Private equity, Private Capital Co-investments debt venture capital hedge and real assets domain.

• Working with private market industry solutions Investran Alter domus I Capital Subscribe backstop chronograph

• strong understanding of private market operations investment Lifecyle and structures and fund life cycle

• Technology certifications on Azure snowflake Domain certifications on CFA

location: Chicago, Illinois

job type: Permanent

salary: $130,000 - 140,000 per year

work hours: 8am to 4pm

education: No Degree Required



responsibilities:

• Lead the development design development and deployment of data pipelines storage solutions and analytic tools

• Ensure scalability reliability and security of the platform to meet current and future demands

• Oversee the implementation of data lakes warehouses and ELT or ETL pipelines on azure and snowflake

• Develop and Review code and ensure adherence to development best practices and standards

• Foster a culture of collaboration innovation and continuous improvement within the team

• Drive integration of Realtime and batch data processing capabilities

• Ensure compliance with data governance policies security and regulatory requirements

• Implement robust data quality lineage and cataloguing processes

• Build and integrate APIs and backend systems using frameworks like Django Flask or Fast API

• Develop scripts and tools for data analysis transformation and automation

• Write unit tests integration tests and conduct debugging to ensure software quality

• Work closely with cross functional teams including developer's product managers business analysts and other stakeholders to align the data platform with organizational goals

• Translate business requirements into scalable technical solutions

qualifications:

• Experience level: Experienced
• Minimum 5 years of experience
• Education: No Degree Required

skills:

API

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.