Lead Data Engineer

EPAM Systems; Mexico; On-site; PHP 3,321,000 - 5,166,000; Full time

Benefits offered by this job

Career growth

LinkedIn learning

English classes

Employee stock purchase plan

Flexible schedule

Job summary

EPAM Systems in Mexico seeks a Lead Data Engineer to modernize data environments, focusing on cloud and lakehouse solutions using Databricks. You will lead scalable pipeline delivery, data migration, and governance, partnering with technical and business teams to deliver results.

The role requires 5+ years as a Data Engineer with strong consulting experience, Databricks expertise, advanced SQL, and Python/Scala proficiency, plus excellent communication and ownership mindset.

Qualifications

• 5+ years of experience as a Data Engineer.
• Proven consulting experience with clients and stakeholders.
• Hands-on data migration experience from on‑prem to cloud or platform‑to‑platform.
• Databricks expertise for development and optimization.
• Advanced SQL and data modeling proficiency.
• Python or Scala for data engineering workloads.
• Upper-intermediate English (B2).
• Strong analytical and solution-oriented mindset.
• Clear communication and teamwork focus.
• Proactive ownership mindset.

Responsibilities

• Design scalable batch and streaming data pipelines.
• Deliver data migration initiatives to cloud or between platforms.
• Develop and optimize data solutions using Databricks and Spark.
• Build ETL/ELT processes following data engineering best practices.
• Elicit requirements with technical and business teams in a consulting context.
• Ensure data quality, governance, and security across platforms.
• Monitor cloud performance and cost, and optimize accordingly.
• Troubleshoot production pipeline issues.
• Document architectures, processes, and migration strategies.

Skills

Databricks

SQL

Python/Scala

English B2

Consulting

Communication

Ownership mindset

Tools

Terraform

CI/CD

Power BI

Kafka

Unity Catalog

Job description

We are looking for a Lead Data Engineer to modernize data environments for the project, focusing on cloud and lakehouse solutions using Databricks. You will lead scalable pipeline delivery, data migration, and governance while partnering with technical and business teams—

Responsibilities

• Design scalable batch and streaming data pipelines
• Deliver data migration initiatives from on-premises to cloud or between platforms
• Develop and optimize data solutions using Databricks and Apache Spark
• Build ETL/ELT processes aligned with data engineering best practices
• Elicit requirements with technical and business teams in a consulting context
• Ensure data quality, governance, and security across platforms
• Monitor and optimize cloud performance and cost
• Troubleshoot and resolve production pipeline issues
• Document architectures, technical processes, and migration strategies

Requirements

• 5+ years of experience as a Data Engineer
• Proven consulting experience working with clients and stakeholders
• Hands‑on experience with data migration projects, from legacy systems to cloud or platform‑to‑platform
• Expertise in Databricks for development and optimization
• Proficiency in advanced SQL and data modeling
• Skills in Python or Scala for data engineering workloads
• Upper-Intermediate English proficiency (B2, upper-intermediate)
• Strong analytical and solution‑oriented mindset
• Clear communication skills and teamwork focus
• Proactive attitude with strong ownership mindset

Nice to have

• Databricks certification
• Experience with CI/CD for data pipelines
• Skills in Infrastructure as Code with Terraform or ARM
• Experience in Spark performance tuning
• Familiarity with Power BI, Kafka, or Unity Catalog

We offer

• Career plan and real growth opportunities
• Unlimited access to LinkedIn learning solutions
• 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
• 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 an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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.

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.