Job Description
We are looking for a highly skilled **Senior Data Software Engineer** with expertise in full-stack development and an automation-first approach to engineering within a modern cloud data warehouse stack (BigQuery/Databricks).
**Responsibilities**
- Design and develop high-performance, fault-tolerant data pipelines using Python and SQL with an emphasis on scalability and automation
- Architect end-to-end production-grade data solutions, integrating ingestion, transformation, and model deployment workflows
- Build and maintain real-time streaming pipelines and batch data workflows leveraging BigQuery/Databricks, Apache Airflow, and DBT
- Write clean, modular code with a focus on reusability and automating manual data engineering tasks
- Collaborate with cross-functional teams to translate business requirements into technical solutions, focusing on automation-friendly approaches
- Implement tools for monitoring, logging, and alerting to ensure the reliability and scalability of data pipelines
- Contribute to design discussions around architecture, pipelines, and cloud infrastructure in data engineering projects
**Requirements**:
- BS/MS in Computer Science, Software Engineering, or a related field
- 3+ years of experience in production-grade data engineering, with a focus on full-stack development and automation
- Proficiency in Python, SQL, and data frameworks such as Spark/PySpark for large-scale data processing
- Expertise in modern Cloud Data Warehousing tools such as BigQuery or Databricks, with understanding of cloud-native architectures (AWS/GCP/Azure)
- Hands-on experience with CI/CD pipelines, version control (Git), and testing frameworks
- Understanding of workflow orchestration with tools like Apache Airflow and DBT to automate pipelines
- Familiarity with event-driven architectures and streaming technologies (Kafka, Kinesis, or similar)
- Background in Agile, DevOps, or DataOps methodologies, including infrastructure as code (Terraform, Pulumi)
- Strong communication skills in English, meeting at least a B2 proficiency level
**Nice to have**
- Experience using MySQL and visualization tools such as Looker/Tableau, or working with large-scale analytics platforms like Amplitude, Snowplow, or Segment
- Hands-on cloud DevOps expertise with AWS, GCP, or Azure
- Basic Linux/Unix system administration and shell scripting skills
- Familiarity with machine learning pipelines, MLOps practices, and deploying ML models
- Experience implementing real-time analytics solutions and streaming technologies like Apache Flink or Spark Streaming
**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.
**Responsibilities**
- Design and develop high-performance, fault-tolerant data pipelines using Python and SQL with an emphasis on scalability and automation
- Architect end-to-end production-grade data solutions, integrating ingestion, transformation, and model deployment workflows
- Build and maintain real-time streaming pipelines and batch data workflows leveraging BigQuery/Databricks, Apache Airflow, and DBT
- Write clean, modular code with a focus on reusability and automating manual data engineering tasks
- Collaborate with cross-functional teams to translate business requirements into technical solutions, focusing on automation-friendly approaches
- Implement tools for monitoring, logging, and alerting to ensure the reliability and scalability of data pipelines
- Contribute to design discussions around architecture, pipelines, and cloud infrastructure in data engineering projects
**Requirements**:
- BS/MS in Computer Science, Software Engineering, or a related field
- 3+ years of experience in production-grade data engineering, with a focus on full-stack development and automation
- Proficiency in Python, SQL, and data frameworks such as Spark/PySpark for large-scale data processing
- Expertise in modern Cloud Data Warehousing tools such as BigQuery or Databricks, with understanding of cloud-native architectures (AWS/GCP/Azure)
- Hands-on experience with CI/CD pipelines, version control (Git), and testing frameworks
- Understanding of workflow orchestration with tools like Apache Airflow and DBT to automate pipelines
- Familiarity with event-driven architectures and streaming technologies (Kafka, Kinesis, or similar)
- Background in Agile, DevOps, or DataOps methodologies, including infrastructure as code (Terraform, Pulumi)
- Strong communication skills in English, meeting at least a B2 proficiency level
**Nice to have**
- Experience using MySQL and visualization tools such as Looker/Tableau, or working with large-scale analytics platforms like Amplitude, Snowplow, or Segment
- Hands-on cloud DevOps expertise with AWS, GCP, or Azure
- Basic Linux/Unix system administration and shell scripting skills
- Familiarity with machine learning pipelines, MLOps practices, and deploying ML models
- Experience implementing real-time analytics solutions and streaming technologies like Apache Flink or Spark Streaming
**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.
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