Job Description
Primary : SQL server, Snowflakes, , IICS, Data lakes and Data modeling
ADF nice to have.
Strictly no AWS
Position Summary
The Data Engineer is a key contributor to Our Data & Analytics Strategy to transform as a Data-driven organization and position Credit Union as a Technology Leader. This position is responsible for the design, development, deploy and operations of data analytics in Modern Cloud Data & Analytics platform.
You will be part of a passionate, highly collaborative team who works in a fast-paced agile environment. You will work closely with business & technology owners, product managers, data champions and cross-functional teams to support data & analytical needs and enable data-as-a-service function.
The ideal candidate will be a experienced data engineering & analytics professional, excels in delivering value, familiar with modern data architectures, offering comprehensive data & analytical technology skills in Data Pipelines, Snowflake, Cloud Data & Analytics Platforms, Data Warehouse, BI Analytics & Dashboards. Preferable to have financials services domain experience from banking, credit union, fintech and other financial sectors
Qualifications
• 6+ years of professional experience in data & analytics technologies/solutions as data engineer or related roles
• B.S. in computer science or equivalent experience.
Skills
• Proficient level data engineering skills using Cloud Data Platforms - Snowflake, ELT/ETL mechanisms, Informatica IICS, Stored procedures to ingest structured, semi-structured datasets using files, and RDBMS - SQL Server.
• Experience in Data lakes and Data modeling is Must
• Azure Data factory(ADF) experience is nice to have
• Proficient in data analysis using Tableau, SQL, and other data analysis techniques.
• Expertise with data operations, sustaining data pipelines and production system processes.
• Experience in applying Data management patterns to measure & monitor data quality. Applying data governance standards and creating technical data dictionary.
• Experience in SDLC Processes, CI/CD and Agile Methodologies.
• Ability to work with Jira, Share Point, Confluence, Git.
• Production support experience will be an added advantage.
Job Description , Roles And Responsibilities
• Financial services background with preference to domain experience in Credit Union, Banking, FinTech sectors. Other financial sectors and domains will be considered
• Develops and delivers data & analytics solutions and projects to meet organizational priorities and timelines.
• Analyzes enterprise and external data sources, creates optimized & resilient data pipelines to ingest and enriches them.
• Designs analytical consume ready data models by applying modern data warehouse techniques. Creates and enriches curated data models while ensuring conformed, transformed, enriched and connected data sets
• Enables dashboards/reports in Tableau; Applies analytical mindset in deriving data driven insights, designs & creates intuitive dashboards and scorecards.
• Practices and adheres to enterprise data standards, guidelines, data management architecture. Finds opportunities to improve best practices, identifies repeatable solutions to underlying problems.
• Works with offshore and external partner resources and owns delivery of work items.
• Innovative problem solving, and Can-do mind set. Outcome oriented and always finds a way deliver commitments.
• Fast learner and quickly adopts to dynamic environment. Ability to work in a fast-paced agile team environment.
• Applies & demonstrates Team-First mindset. Collaborates with team for data & analytics platform maturity.
• Good Communication
• Able to work independently with customer
