We are looking for Big Data Engineers with at last 1 year of commercial experience to join our growing Data Practice and make our team even stronger. Projects and technologies we are working with are very different and cover all technologies which present 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. You can work in our office in Prague or remotely. The remote option applies only to the Candidates who will be working from any location in Czech Republic.

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Responsibilities

• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP and a lot other based on various proprietary systems. You will need to research and implement data ingestion with help of Big Data technologies
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part business logic and implement it using any language which supported by base data platform

• Advanced knowledge one of language: Java, Scala, Python, C#
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow
• Google Cloud Platform, Amazon Web Services, Cloudera (or any other) HADOOP distribution, Databricks

• Spark Streaming
• Kafka Streaming / Kafka Connect
• Snowflake
• ELK Stack
• Docker / Kubernetes
• Cassandra / MongoDB
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

• Opportunity to work in a fast-paced, agile, software engineering culture
• Comfortable modern office in Prague 7, with support of hybrid or fully remote mode
• Benefit program (5 weeks of vacation, paid sick days, paid days off for special occasions, meal vouchers, flexi pass, Prague city public transport annual coupon, multisport cards, optional contribution to pension fund, health insurance for family member)
• EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
• English language courses
• Czech language courses upon request
• Referral bonuses for recommended candidates
• Mobile Phone Tariff's program for managerial-level candidates
• Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more