Data engineer Java, AWS, Databricks Remote
Data engineer Java, AWS, Databricks Description
We are on the lookout for a skilled Data Engineer with proficiency in Java, AWS, and Databricks to join our dynamic IT team. If you have the knack for using software and data engineering principles to deliver results and hold experience in proactively improving existing systems, this role is for you. Small project leadership and effective team collaboration are key aspects of this role. If you're looking to challenge your skills and dive into the world of data engineering, apply today!
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Technologies
- Java, Python, Scala
- Architecture
- Testing, monitoring, alerting
- Business acumen/domain knowledge
- Data access patterns
- Streaming technology
- Data validation
Responsibilities
- Collaborate with team members on problem-solving and development
- Proactively engage with peers across the company to encourage collaboration
- Develop expertise in technical areas
- Develop and test standard software applications and related programs
- Apply software design principles, data structures, and design patterns
- Coordinate stakeholder involvement when developing solutions
- Challenge authority or the status quo when necessary
- Stay updated on advancements in data engineering technologies
Requirements
- Bachelor's degree with 3+ years of experience or Master's degree with 0-2 years of experience in a relevant field
- Experience working in a data engineering team environment
- Proven experience in developing and maintaining data engineering pipelines/products in public/hybrid cloud infrastructure
- Strong programming skills in relevant languages (Java, Spark, Python) and familiarity with others
- Experience with data processing patterns (stream vs batch) and knowledge of RDBMS systems vs distributed systems
- Ability to understand complex systems, test and monitor code, debug applications, and collaborate effectively within a team
- Familiarity with architecture, testing, monitoring, alerting, business acumen/domain knowledge, data access patterns, streaming technology, and data validation
Nice to have
- Technical degree is preferred
- Familiarity with modern data access patterns
- Experience with cloud data platforms, data models, enterprise information management, business intelligence, and data science
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)
- Monthly non-taxable amount for the electricity and internet bills
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.
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.
