Big Data and Azure- Senior Software Engineer

Data Software Engineering, Azure Data Factory, Azure Databricks, Apache Spark, Python

Bangalore, Hyderabad, Pune, Chennai, Gurgaon

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 61,300 employees and customers in more than 50 countries across five 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

4 to 8 Years in Big Data & Data related technology experience
Expert level understanding of distributed computing principles
Expert level knowledge and experience in Apache Spark
Hands on experience in Azure – Databricks, Data Factory, Data Lake store/Blob storage, SQL DB
Experience in creating Big data Pipelines with Azure components
Hands on programing with Python
Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
Experience with messaging systems, such as Kafka or RabbitMQ
Good understanding of Big Data querying tools, such as Hive, and Impala
Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
Good understanding of SQL queries, joins, stored procedures, relational schemas
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge of ETL techniques and frameworks
Performance tuning of Spark Jobs
Experience with designing and implementing Big data solutions
Practitioner of AGILE methodology

technologies

Big Data
Azure
Spark
Python
Azure Databricks
Azure Data factory

Benefits

For you

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

For your comfortable work

Hybrid Work Model
Soft loans to set up workspace at home
Stable workload
Relocation opportunities with ‘EPAM without Borders’ program

For your growth

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

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