Lead Data Engineer

EPAM Systems; Argentina; Remote; ARS 90,873,000 - 181,747,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

EPAM Employee Groups

Award-winning culture

Job summary

EPAM Systems is seeking a Lead Data Engineer to join a high-performing agile team supporting a major investment management client. You will design, build, and maintain scalable data solutions across trading platforms, reporting, and operations, leveraging Snowflake and AWS.

You will mentor peers, drive CI/CD, and engage in agile ceremonies. The role requires 5+ years in data engineering, strong SQL/Python, and effective stakeholder communication.

Qualifications

• Bachelor's degree or equivalent practical experience in Computer Science, IT, Engineering, or related field.
• 5+ years of professional Data Engineering experience.
• Strong SQL, Snowflake, and data warehousing knowledge.
• Hands-on AWS cloud experience.
• Proficient Python for ETL processing.
• Experience with GitHub or Bitbucket.
• CI/CD pipeline development experience.
• Familiarity with Agile delivery methods.
• Strong communication and stakeholder skills.
• English at B2 level or higher.

Responsibilities

• Design, build, and maintain scalable data integration and data warehousing solutions.
• Collaborate with Product Owners, Scrum Masters, BAs, SMEs, and Engineers to refine requirements.
• Translate user stories into technical designs using cloud and data technologies.
• Develop and optimize ETL/ELT pipelines for financial data.
• Create and maintain SQL objects (views, procedures, functions).
• Set up data integration workflows across enterprise platforms.
• Contribute to architecture, design discussions, and implementation.
• Maintain data quality, performance, security, and governance.
• Participate in Agile ceremonies and demos.
• Present completed solutions and business value to stakeholders.
• Support CI/CD and improve deployment processes.
• Mentor team members and promote engineering best practices.

Skills

SQL

Snowflake

Data Warehousing

AWS

Python

GitHub/Bitbucket

CI/CD

Agile

Stakeholder management

Education

Bachelor's degree in Computer Science / IT / Engineering or equivalent

Tools

SQL analytics tooling

AWS services (S3, Lambda, Glue, Athena)

Snowflake

REST APIs

Git/GitHub

SnapLogic

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 solutionsWork closely with Product Owners, Scrum Masters, Business Analysts, SMEs, and Engineers to analyze and refine business requirementsConvert user stories into solid technical solutions using modern cloud and data technologiesCreate and optimize ETL/ELT pipelines for processing financial and investment dataBuild and maintain SQL-based database objects such as views, stored procedures, and functionsSet up and support data integration workflows across enterprise platformsTake part in solution architecture, technical design discussions, and implementation effortsMaintain high standards of data quality, performance, security, and governanceEngage actively in Agile ceremonies such as sprint planning, estimation, retrospectives, and showcasesShowcase completed solutions and explain their business value to stakeholdersHelp implement CI/CD and continuously improve deployment processesMentor team members and encourage engineering best practicesRequirementsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience)At least 5 years of professional experience in Data EngineeringStrong expertise in advanced SQL, Snowflake, and Data Warehousing concepts and architecturesHands-on experience with AWS cloud servicesStrong Python skills for data processing and ETL developmentWorking knowledge of source control systems like GitHub or BitbucketExperience creating and maintaining CI/CD pipelinesSolid grasp of Agile delivery methodologiesStrong communication and stakeholder management abilitiesCapability to work independently while still being an effective team contributorEnglish proficiency at B2 level or higherNice to haveExperience with Power BI or similar reporting and business intelligence toolsAPI development and integration skillsKnowledge of investment, asset management, or financial services dataBackground 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