Senior Data Engineer to be responsible for defining, designing, and implementing data pipelines, data engineering solutions, and analytics components to support strategic initiatives and ongoing business processes. This role will develop solutions that leverage, integrate with, and expand upon the company's Business Intelligence (BI) platform technologies and patterns. This position requires a deep understanding of data consumers and how they use data to drive business performance and achieve their goals. The Senior Data Engineer will also act as a mentor to junior developers to help maintain a sustainable analytics ecosystem.
EDUCATION/EXPERIENCE (Senior-level):
· Master's degree in Computer Science, MIS, Engineering, Business or similar required
· Minimum 2 years’ experience in delivering business solutions that rely on business intelligence, data warehousing, data science, or similar domains
Desirable Education/Experience:
· 4 years hands-on experience in delivering solutions in at least two areas which include: Data Modeling, Data Integration, Data Analysis, SQL and 2-5 years hands-on experience in at least two areas which includes: Data Science, Big Data, R/Python and Machine Learning
RESPONSIBILITIES (Senior-level):
· 50% - Deliver and drive efforts in developing BI/Data solutions focused on Data Engineering and Analytics using Python, Machine Learning, RDBMS, R, SQL, Data Modeling, Java, Unix Scripting, AWS, Microstrategy, Power BI, and MPP databases.
· 10% - Troubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines.
· 10% - Understand and improve shared standard patterns, templates, and artifacts for BI and data warehouse platform architecture, data science development approaches, data models, and new technology adoption and rollout.
· 10% - Collaborate with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery.
· 10% - Mentor other team members on technical skills, best practices, problem solving approaches, and standard patterns.
· 5% - Proactively generalize and share technical approaches and best practices among other developers and simplify and communicate completed work to broader audiences across the company.
· 5% - Help support data consumers to ensure they have reliable access to trusted data. This includes periodic responsibility for 24x7 on call production support.
· These BI Data Engineers can be either Senior or Principal Data Engineer level: The BI Team size is 20 people and we focus mainly on Data Engineering (Data Science (machine learning implementation for business projects), Data Replication (for BI and other app teams), Data Warehousing (for reporting as well adhoc data analysis), and BI and Data Science Platform.
· Our tech stack/platform is Netezza, Informatica v9.5.1, Erwin v9.5, Python v3, AWS Redshift/S3/Kinesis and the must-have skill sets for these positions include: SQL, Informatica (power exchange CDC and Power Center), Netezza (also, if they know other skills listed in job description, it will be great/a “nice-to-have”).