Chief Data Engineer

EPAM Systems; Argentina; Remote; ARS 2,400,000 - 3,600,000; Full time

Job summary

EPAM Systems in Argentina seeks a Lead Data Engineer to design scalable data platforms for financial data, ETL pipelines, and cloud-based solutions in a fast-paced agile environment.

You will mentor engineers, drive CI/CD practices, ensure data quality and governance, and partner with product owners to deliver business value across trading, reporting, and operations.

Qualifications

• 7+ years of professional Data Engineering experience.
• Proficient in SQL, Snowflake, and data warehousing concepts.
• Experience with AWS cloud services and Python for data processing.

Responsibilities

• Design, build, and maintain scalable data integration and warehousing solutions.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Develop and optimize ETL/ELT pipelines for financial data.
• Maintain SQL objects and implement data quality, security, and governance.
• Contribute to architecture discussions and CI/CD improvements.
• Mentor team members and promote engineering best practices.

Skills

SQL

Snowflake

Data Warehousing

AWS

Python

CI/CD

Agile

Communication

ETL/ELT

GitHub/Bitbucket

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

GitHub

Bitbucket

Power BI

AWS Glue

Athena

Lambda

S3

SNAP Logic

Job description

We're looking for a highly driven Lead Data Engineer to become part of a high-performing agile team that supports a prominent investment management organization. This position suits an experienced data professional who possesses strong expertise in modern data platforms, cloud technologies, and financial data integration. The chosen candidate will serve as the voice of Data Engineering within a cross-functional squad, helping design, build, and deliver scalable data solutions that support trading platforms, reporting systems, and investment operations.ResponsibilitiesDesign, build, and maintain scalable data integration and data warehousing solutionsCollaborate with Product Owners, Scrum Masters, Business Analysts, SMEs, and Engineers to analyze and refine business requirementsTranslate user stories into robust technical solutions using modern cloud and data technologiesDevelop and optimize ETL/ELT pipelines for processing financial and investment dataBuild and maintain SQL-based database objects, including views, stored procedures, and functionsEstablish and support data integration workflows across enterprise platformsContribute to solution architecture, technical design discussions, and implementation effortsUphold high standards of data quality, performance, security, and governanceParticipate actively in Agile ceremonies, including sprint planning, estimation, retrospectives, and showcasesPresent completed solutions and communicate their business value to stakeholdersSupport the implementation of CI/CD processes and drive continuous improvement in deployment practicesMentor team members and promote engineering best practicesRequirementsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience)A minimum of 7 years of professional experience in Data EngineeringAdvanced proficiency in SQL, Snowflake, and Data Warehousing concepts and architecturesPractical experience with AWS cloud servicesStrong Python skills for data processing and ETL developmentFamiliarity with source control systems such as GitHub or BitbucketExperience building and maintaining CI/CD pipelinesStrong understanding of Agile delivery methodologiesExcellent communication and stakeholder management skillsAbility to work independently while contributing effectively as part of a teamEnglish proficiency at B2 level or higherNice to haveExperience with Power BI or similar business intelligence and reporting toolsSkills in API development and integrationFamiliarity with investment, asset management, or financial services dataExperience supporting trading, reporting, accounting, or general ledger platformsExposure to AWS Glue, Athena, Lambda, S3, REST APIs, and SnapLogicExperience working within scaled Agile frameworksWe 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 LinkedIn