Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting and design capabilities; and unique ‘Engineering DNA,EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. Selected by Newsweek as a 2021 Most Loved Workplace.

EPAM’s global multi-disciplinary teams serve 57,450+ employees and customers in more than 50 countries across six continents.

As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years.

EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing organization.

Requirements

• 8 to 13 Years of IT & Big Data technologies experience
• Prior experience in ETL, data pipelines, data flow techniques using Azure Data Services
• Working experience in Python, Py Spark, Azure Data Factory, Azure Data Lake Gen2, Databricks, Azure Synapse and file formats like JSON & Parquet
• Experience in creating ADF Pipelines to source and process data sets.
• Experience in creating Databricks notebooks to cleanse, transform and enrich data sets.
• Good understanding about SQL, Databases, NO-SQL DBs, Data Warehouse, Hadoop and various data storage options on the cloud.
• Development experience in orchestration of pipelines
• Experience in deployment and monitoring techniques
• Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources.
• Experience in handling operations/Integration with source repository
• Must have good knowledge on Datawarehouse concepts and Datawarehouse modelling"

Technologies

• Big Data
• Azure
• Spark

We offer

• Insurance Coverage
• Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves.
• Financial assistance for medical crisis
• Retiral Benefits – VPF and NPS
• Customized Mindfulness and Wellness programs
• EPAM Hobby Clubs
• Hybrid Work Model
• Soft loans to set up workspace at home
• Stable workload
• Relocation opportunities with ‘EPAM without Borders’ program
• Certification trainings for technical and soft skills
• Access to unlimited LinkedIn Learning platform
• Access to internal learning programs set up by world class trainers
• Community networking and idea creation platforms
• Mentorship programs
• Self-driven career progression tool