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Senior Data Engineer with Cloud Sofia, Bulgaria

Senior Data Engineer with Cloud Description

We are seeking a highly skilled Senior Data Engineer with expertise in Cloud technologies to join our team.

The successful candidate will be responsible for developing and implementing innovative solutions using cloud-native, big data, and NoSQL technologies. They will play a crucial role in building and optimizing our data architecture to support our next-generation products and data initiatives.


#LI-DNI#LI-TA3

Responsibilities

  • Develop and implement innovative analytical solutions using Cloud Native, Big Data, and NoSQL related technologies
  • Develop and implement Cloud/On-Premise/Hybrid solutions using best in the class data frameworks
  • Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions
  • Build collaborative partnerships with architects, technical leads and key individuals within other functional groups
  • Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution
  • Actively participate in code review and test solutions to ensure it meets best practice specifications
  • Build and foster a high performance engineering culture, mentor team members and provide team with the tools and motivation
  • Write project documentation

Requirements

  • 3+ years in several of the following AWS technologies: Glue, Amazon Elastic MapReduce (EMR), S3, Redshift, Kinesis, Databricks, Lake Formation, Athena, Dynamo DB, Elastic Kubernetes Service (EKS), Lambda, or Azure technologies: Data Lake (ADLS Gen2), Data bricks, Synapse, Azure Data Factory (ADF), Stream Analytics, CosmosDB, or GCP technologies: Data Flow, Dataproc, Data prep, GCS, BigQuery, Cloud Composer, Pub/Sub, BigQuery
  • Experience in some of the following frameworks: Data bricks, Snowflake, Spark, Kafka
  • Experience in SQL and some of the following: Python, Java, Scala, Katlin
  • Experience in some of the following Kubernetes (KSS), Docker, Linux
  • Must have experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
  • Strong analytical and problem-solving skills that balance with creative approaches
  • Ability to learn new and complex concepts quickly
  • Strong experience with large-scale production databases and SQL
  • Experience with ETL development (extractions, data load, aggregation, transformation)
  • Must be able to take ownership of projects with a prominent level of attention to detail and priority
  • Team player with a hands-on approach and attitude

Nice to have

  • Experience with data modeling
  • Familiarity with using business intelligence tools such as PowerBI, Tableau, Looker
  • Experience with Terraform

We offer

  • Opportunity to Engineer your Future and to drive the world’s digital transformation with top industry clients
  • Personal development program that will allow you to be valued for your strengths
  • Wide range of professional trainings and workshops
  • Being part of a collaborative, fast-growing, and innovative design team
  • Established and accelerated growth toward different career paths, competencies, and roles
  • Broad projects variety and possible mobility between projects over the time
  • Collaboration in a multicultural environment and exchange of best practices with colleagues around the world
  • Varied social benefits, Sports, Transportation and Health programs
  • Work-life balance and flexible schedule, team buildings and sport opportunities
  • Modern office/collaboration spaces (incl. new Infinity Tower business center, Sofia)
  • Hybrid By Design - we provide you with the best productivity options from the 2 worlds. Meet, socialize and enjoy F2F time with your colleagues, while working from the modern EPAM's office for a few days per week and benefit from the EPAM's virtual working environment - making you able to be productive and work from remote for the rest of the week

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