Position: Data Development TeamLead
Company: EPAM Systems
Category: Data Engineer
Experience required: 5y
English level: upper

**Job Description**

Build enterprise-grade data platform;
Establish data governance and data quality;
Implement reusable DataBricks components for data ingestion and data analytics.
Ingest (via batch, streaming, replication) data into a data lake and make data available for reporting and predictive modeling;
Establish, security controls, integration with data governance, and clear auditable data lineage;
Build collaborative partnerships with architects, technical leads, and key individuals within other functional groups.
Actively participate in code review and test solutions to ensure it meets best practice specifications.
Write project documentation.

**Requirements**

Coding experience with Python
Experience building data ingestion pipelines, Data Warehouse, or Database architecture.
Experience with data modeling; hands-on development experience with modern Big Data components.
Cloud: experience in designing, deploying, and administering scalable, available, and fault tolerant systems.
Data-oriented personality and possessing compliance awareness, such as PI, GDPR, HIPAA.
Technology stack

ADLS, DataBricks, Power BI, Azure Synapse Analytics

The customer is set to design Data Architecture for enabling digital transformation and modernizing the technology stack in order to collect, connect and manage data, leverage modern APIs, and implement advanced analytics tools to generate strategic insights.

**WE OFFER**
Full remote, Flexible working hours
Competitive compensation depends on experience and skills
Individual career path
Unlimited access to LinkedIn learning solutions
Social package - medical insurance, sports
Compensation for sick lists and regular vacations
English classes with native speakers (certified English teachers)