Participate in developing high quality, scalable software modules for next generation analytics solution suite
Engage in activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
Formulates logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions
Identify and validate internal and external data sources for availability and quality
Work with SMEs to describe and understand data lineage and suitability for a use case
Create data assets and build data pipelines that align to modern software development principles for further analytical consumption
Perform data analysis to ensure quality of data assets
Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources
Assist in developing code that enables real-time solutions to be ingested into front-end systems and platforms
Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams.

Requirements

2+ years of relevant experience recommended
Bachelor’s degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline
Experience in Python and SQL
Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
Experience in ETL concerning metadata management and data validation
Experience in Unix and Git
Experience in Automation tools (Autosys, Cron, Airflow, etc.)
Exposure to AWS or GCP services a plus
Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus
Experience with ELT tools (i.e. DBT, Talend) a plus
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies
Candidate must be authorized to work in the US without company sponsorship.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonSQLETLdata analysisdata validationdata pipelinesUnixGitHadoopSpark

communicationproblem-solvingcollaborationanalytical thinkingtechnical translation