Data Quality Engineer

We are looking for a skilled **Data Quality Engineer** to join our driven team, collaborating on data ingestion processes and enabling the effective utilization of high-quality data across the company. In this role, you will contribute to an innovative supply-chain data analytics platform that leverages artificial intelligence to transform supply-chain insights and deliver domain-specific recommendations.

**Responsibilities**
- Define, implement, and maintain tooling and processes for data quality management from scratch
- Build and enforce data quality validations within ETL pipelines
- Set up monitoring dashboards and alerts to ensure continuous data quality tracking
- Collaborate with cross-functional teams to ingest, profile, and standardize data from multiple external sources
- Leverage SQL and Python to analyze and enhance data quality metrics
- Utilize AWS services, such as reading from S3, for data profiling and validation tasks
- Partner with clients to identify and resolve data quality issues, ensuring effective communication and delivery of solutions
- Work effectively amidst ambiguity and in a fast-paced startup environment to execute tasks independently
- Foster transparency and proactivity within the team and with stakeholders

**Requirements**:

- Strong experience spanning over 2 years as a Data Quality Engineer or in similar roles, with a proven ability to establish processes and tools
- Showcase of implementing data quality checks in ETL pipelines and creating interactive dashboards and alerts
- Proficiency in SQL and Python for data quality tasks
- Familiarity with AWS services, with a focus on data profiling and reading data from S3
- Background in client-facing roles, demonstrating excellent communication skills and proactivity
- Capability to independently execute tasks and maintain productivity without constant direction
- Flexibility to adapt to a fast-paced startup environment with transparent and collaborative workflows
- English level B1+ for effective communication

**Nice to have**
- Expertise in profiling data using Glue Data Quality
- Hands-on experience working with Databricks and PySpark
- Familiarity with multiple data quality monitoring frameworks or tools such as Great Expectations, SODA, Lightup, etc.

**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.