Lead Data Engineer (Databricks & Spark)

EPAM Systems, Inc.; México; A distancia; MXN 1.200.000 - 1.900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certificate

LinkedIn Learning access

Descripción de la vacante

EPAM Systems, Inc. is seeking a Lead Data Engineer to shape scalable data ingestion, transformation, and governed data products on Databricks. You will blend hands-on delivery with technical leadership to enable self-service analytics and AI-enabled engineering.

Responsibilities include building batch and streaming pipelines with Spark, delivering end-to-end data products, and mentoring engineers while enforcing best practices across medallion layers and observability standards.

Formación

• 5+ years of data engineering experience with production-grade platforms.
• Lead-level technical leadership to drive standards and mentor engineers.
• End-to-end delivery across ingestion, transformation, semantic layers, and reporting.
• Advanced Apache Spark and PySpark expertise for scalable pipelines.
• Advanced SQL skills for transformation, modeling, and performance tuning.
• Upper-Intermediate English proficiency (B2) for leading technical discussions.

Responsabilidades

• Design scalable data ingestion and transformation frameworks on Databricks.
• Define and enforce Databricks best practices for medallion layers.
• Build batch and streaming pipelines using Spark and PySpark.
• Deliver end-to-end data products from ingestion to governed layers.
• Develop trusted analytical datasets and semantic models for reporting.
• Implement data quality, lineage, monitoring, and observability standards.
• Lead PoCs and evaluate emerging Databricks capabilities.
• Mentor engineers and drive reusable frameworks across teams.

Conocimientos

Databricks

Apache Spark

PySpark

SQL

Data ingestion

Data transformation

Data quality

Data lineage

Observability

Leadership

Scala

Mentoring

Herramientas

Scala

Descripción del empleo

We are building a next-generation analytics platform and need a Lead Data Engineer to shape scalable ingestion, transformation, and governed data products on Databricks. You will combine hands-on delivery with technical leadership and architecture to enable self-service analytics and AI-assisted engineering.ResponsibilitiesDesign scalable data ingestion and transformation frameworks on DatabricksDefine and enforce Databricks best practices for medallion layers and operational excellenceBuild batch and streaming pipelines using Apache Spark and PySparkDeliver end-to-end data products from ingestion through governed consumption layersDevelop trusted analytical datasets and semantic models for reporting and self-service analyticsImplement data quality, lineage, monitoring, and observability standardsLead proof-of-concepts and evaluate emerging capabilities in the Databricks ecosystemMentor engineers and drive reusable frameworks adopted across teamsRequirements5+ years of data engineering experience with production-grade platformsStrong Databricks experience in enterprise production environmentsLead-level technical leadership skills to drive standards and mentor engineersEnd-to-end delivery experience across ingestion, transformation, semantic layers, and reportingAdvanced Apache Spark and PySpark expertise for scalable pipeline developmentAdvanced SQL skills for transformation, modeling, and performance tuningUpper-Intermediate English proficiency (B2) for leading technical discussionsNice to haveData architecture experience for enterprise lakehouse patternsData solution architecture skills to define scalable platform designsScala proficiency for Spark development and optimizationWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.