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Senior Data Software Engineer

Role overview

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics or related technical field
  • 5+ years experience in software development with Big Data technologies
  • Advanced knowledge of Python, Scala, or Java
  • Proficient with Spark and Databricks and/or Snowflake

Responsibilities

  • Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP
  • Research and utilize Big Data technologies for effective data ingestion
  • Process and transform data using tools such as Spark and various Cloud Services
  • Understand and execute project-specific business logic through programming languages supported by the primary data platform

Key facts

Hard skills

Other skills

  • Communication
  • Teamwork
  • Analytical Skills
  • Problem Solving

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are looking for a Senior Data Software Engineer to join our growing Data Practice and make our team even stronger. Our projects and technologies are very diverse and cover all technologies currently on the market and represented by open-source communities. We are providing our service to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want. Responsibilities Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP Research and utilize Big Data technologies for effective data ingestion Process and transform data using tools such as Spark and various Cloud Services Understand and execute project-specific business logic through programming languages supported by the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Big Data best practices and technology trends Maintain and ensure integrity and security of big data sources and platforms Perform troubleshooting, debugging, and upgrading of big data systems and applications Requirements Bachelor’s degree in Computer Science, Mathematics or related technical field 5+ years experience in software development with Big Data technologies Advanced knowledge of Python, Scala, or Java Proficient with Spark and Databricks and/or Snowflake Experience with cloud platforms such as Azure, Google Cloud Platform, Amazon Web Services Demonstrated experience with big data models, databases, and tools Strong understanding of different data file formats like JSON, Parquet, Avro Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB Proficiency in data warehousing solutions, ETL processes Proven ability to work within a fast-paced, team-oriented environment Detail-oriented with excellent analytical and problem-solving skills Knowledge of software development methodologies and best practices Exceptional oral and written communication skills in English (B2+) Nice to have Experience with Hadoop, Spark, Kafka, Oozie, Airflow, HDFS, YARN Experience with message queues, especially Kafka Production experience in search technologies such as Solr, OpenSearch, or Lucene

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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