About This Role
Today we are ready to add a Cloud Data Engineer to the team. As Cloud Data Engineer you will be responsible for using you knowledge of data processing software and business application development to support analytical needs of the Business. Duties include collaborating with business customers, stakeholders and other development team members to define, design and implement analytical products like automated reports (including visual), statistical models, data analytics processes and etc.
What you will work on
- Collaborate with development team members to finalize system design and to identify incremental features delivery
- Build POC/Prototypes and present to team/business customers
- Use application development tools and resources to independently build data application components including triggers, validation, monitoring and logging.
- Working with data, looking for anomalies, identifying issues and unwinding root cause of any issues and/or determining if an anomaly is not an issue
- Define options for automating manual solutions
- Create analytical presentations and reports based on recommendations and findings
What you will bring
- 7-10 years of experience and a Bachelor’s Degree
- Excellent Analytical and problem-solving skills and self-sufficient in investigating data discrepancies – proficient at data analysis and mining
- Data analysis must include ability to derive descriptive stats (mean, median, n-tile, histograms), moving averages, cumulative sums, etc. with SQL (must) and DAX (nice to have) and experience with time-series data, analysis and manipulation
- Technical communication skills – writing and editing, as well as speaking
- Knowledge of logical/physical data model and data relationships
- Excellent attention to detail
- Experience in cloud engineering (preferably Azure)
- Experience writing complex queries in SQL and understanding large scale data warehouse environments
- Proven Expertise in Data Application Coding languages such as SQL, Scala, Python and Spark used in production applications and unit testing.
- Experience with development and implementation of Databricks Notebooks and Azure Machine Learning (AML) projects
- Experience with end-to-end development and deployment of analytics products and end user analytical tools/data visualization skills
- Experience testing and debugging complex data transformations as well as standard code packages.
What you can expect
- An inspirational place for you to do your best work, be engaged in meaningful ways, and continually develop the skills, competencies and qualities that set our team apart.
- Compensation commensurate with your qualifications, experience, and other factors, including geographic location, market and operational factors.
- Total Rewards based on eligibility include: Medical, 401(k) Savings Plan, and Employee Stock Purchase Plan.
What we do
At RGP, we're creating a future where businesses produce their best work without constraints. We've built a global network of over 2,600 experts across four regions, providing a comprehensive suite of solutions across on-demand talent, next-generation consulting, and outsourced services to support organizations at every stage of their growth journey. Trusted by Fortune 100 companies and emerging disruptors alike, we challenge conventional ways of working, drive growth, and pave the way for long-term success through bold innovation and fearless collaboration.
Our values guide everything we do and strengthen our commitment to people. By combining smart processes, human-centered design, and advanced technology, we celebrate our team's excellence and ensure we grow together. We believe in the power of continuous learning and development to drive both individual and organizational success. It’s time to rethink how work gets done. Dare to Work Differently® with RGP.
RGP is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, or any other legally protected trait and encourage all applicants to apply.
