Data Engineer - Python/SQL (6-10 yrs)

What You'll Do :

As a Senior Consultant, you will have the opportunity to gain valuable hands-on experience collaborating with leading professionals while building your professional skills in a variety of analytical techniques and industry specialties. Our analytics and automation service helps organizations effectively navigate business risks and opportunities from strategic and financial risks to operational, and regulatory risks to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient.

Our leading consulting teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. In this role, you will collaborate with clients, technology partners, and your team to develop data engineering and analytics solutions tailored to unique business challenges. Utilizing both traditional and modern data stacks, this position is suited for individuals who are passionate about creating innovative analytics solutions that drive strategic business outcomes and enable data-driven insights. You will develop a team of data engineers focused on delivering custom, scalable data solutions to clients and ensuring high standards of data quality and client satisfaction. The ideal candidate will have a strong technical background and experience in a consulting environment.

What You'll Bring :

- 6-8 years of data engineering experience in programming and building large scale data/analytics solutions operating in production environments

- Proven experience in managing multiple, complex data engineering projects simultaneously.

- Strong problem-solving skills and the ability to handle complex, ambiguous situations.

- Exceptional project management skills, with experience in Agile methodologies.

- A client-service mindset and a desire to take on tough and challenging projects

- Effective communication skills, both written and verbal

- Exceptional attention to detail and ability to work effectively with minimal supervision

- Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment

Experience in Technologies :

- Data analytics tools : SQL, Python, Snowflake

- Data Engineering tools : SSIS, Matillion, dbT

- CDC tools : Fivetran, STRIIM

- Data visualization tools : Tableau, Power BI

- Cloud platform : AWS, Azure

- Experience with CI/CD pipelines, automation tools, and DevOps practices.

Qualifications :

- Bachelor's Degree in Computer Science, Management Information Systems, Engineering, Data Science, Statistics, Mathematics, or related disciplines

- Certifications in any analytics/visualization tools or cloud platforms (e.g. Snowflake, Snowpro, AWS Data Analytics Specialty, Azure Data Engineer / Analyst) are a plus