Job Description

working remotely until COVID-19 restrictions are lifted Client is seeking a technology associate with the passion to drive innovation in a highly-integrated financial planning landscape. The Associate Data Engineer will be an integral member of a newly formed Agile Product Team that will implement and own ground breaking solutions for global professionals in Finance, Research and Development, and Global Commercial Operations. Got a mind for creating a simplified system of interconnected data sources to drive powerful financial insights? Come join our team and be a part of something new that we can be proud of! Responsibilities include: With guidance, applies knowledge of basic principles, methods and practices to simple and moderately complex assignments as follows: • Contribute to the design and development for ETL solutions to support key partners • Collaborate with Application Architects and Business SMEs to design and develop end-to-end data pipelines and supporting infrastructure • Build and operationally support new infrastructure and analytics tools in a DevOps model using Python, SQL and AWS • Proactively identify & implement opportunities to automate tasks and develop reusable frameworks • Participate in efforts to design, build, and develop rapid Proof-of-Concept (POC) solutions and services • Creating striking visualizations to aid in data interpretation and usage. Preferred Qualifications: • Proven attention to detail and proactive communication • Proficient in one of the following coding languages: Python, Java, Scala • Demonstrable experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.) • Experience with Schema Design & Dimensional data modeling • Experience with AWS Services like EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway • Experience with software DevOps CI/CD tools, such as Git, Jenkins, Linux, and Shell Script • Experience with Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow • Hands-on experience using Databricks/Jupyter or similar notebook environment • Experience building data warehouses and ETL pipelines a plus

Qualifications

Basic Qualifications: • Bachelor’s degree (mathematics, computer science, engineering, or other quantitative discipline)  

Additional Information

TOP 3 MUST HAVE SKILL SETS:

• Proficient in one of the following coding languages: (Python, Java, Scala) • Demonstrable experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.) • Experience with Schema Design & Dimensional data modeling (Database Management)