305 King St W
Suite 1100
Kitchener, ON N2G 1B9
Canada
Senior Data Engineer with Databricks Remote
Senior Data Engineer with Databricks Description
Are you a passionate Senior Data Engineer with expertise in Databricks ? Join our dynamic team at the forefront of data engineering innovation. From day one, you'll have the chance to make a significant impact, shaping our future success together. This is an exciting opportunity to grow and thrive as we lead the way in data engineering excellence!
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Responsibilities
- Drive Business Impact: Collaborate with stakeholders to identify high-value business problems solvable through data processing and analytics
- Optimize Data Infrastructure: Develop, expand, and optimize databases and ETL pipelines for enhanced efficiency
- Cutting-Edge Data Platform: Work with architects to build and support a state-of-the-art Databricks cloud data platform
- Leadership & Mentorship: Take on leadership and mentoring roles as a core member of our new data engineering practice
Requirements
- Data Wizardry: Rich knowledge of Databricks and unleashing its power to implement a Databricks lakehouse at enterprise scale
- Python Prodigy: Advanced Python development skills, creating magic with code
- SQL Sensei: Mastering the art of SQL for seamless data manipulation
- DevOps Dynamo: Navigating modern DevOps with ease, crafting efficient CI/CD pipelines for data code
Technologies
- Databricks
- Python
- SQL
- Cloud Technologies (e.g., AWS, Azure, GCP)
We Offer
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
- Monthly non-taxable amount for the electricity and internet bills
Conditions
- By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy
