Responsibilities of the Candidate:

Provides technical consultation on data product projects by analyzing end-to-end data product requirements and existing business processes to assist in the design, development and implementation of data products.
Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
Develops and maintains scalable data pipelines for both streaming and batch requirements.
Assists in building out new API integrations to support continuing increases in data volume and complexity.
Practices code management and integration with engineering Git principle and practice repositories.

Requirements:

Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.
One to three years of relevant experience with data quality rules, data management organization/standards, or practices. Experience with query languages, statistical software and data wrangling and provisioning tools. Experience analysing trends and patterns in structured and unstructured data to support business problem solving.
ETL/ELT Pipelines using Informatica Powercenter/IICS/IDMC
SQL, PL/SQL with Oracle and MS SQL Server,
Snowflake Cloud Datawarehouse
Amazon Web Services: EC2, S3, IAM, Lambda, EFS
Python for Data processing using Pandas, dataframes, Numpy
Github Version Repository
AI Assisted Development: LLMs, RAG, embeddings, agents, prompt engineering