Lead Data Engineer with Cloud

We are seeking a talented and experienced Lead Data Engineer with Cloud expertise to join our dynamic team.

In this role, you will be responsible for designing and implementing cutting-edge data solutions in cloud environments. You will lead a team of engineers, collaborate with cross-functional teams, and drive the development of efficient and scalable data systems to support our business needs.

#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

• 5+ years in several of the following AWS technologies: Glue, Amazon Elastic MapReduce (EMR), S3, Redshift, Kinesis, Databricks, Lake Formation, Athena, DynamoDB, Elastic Kubernetes Service (EKS), Lambda, or Azure technologies: Data Lake (ADLS Gen2), Databricks, Synapse, Azure Data Factory (ADF), Stream Analytics, CosmosDB, or GCP technologies: DataFlow, Dataproc, Dataprep, GCS, BigQuery, Cloud Composer, Pub/Sub, BigQuery
• Experience in leading small and mid-size teams, using Agile methodology
• Experience in some of the following frameworks: Databricks, Snowflake, Spark, Kafka, Terraform
• Experience in SQL and some of the following: Python, Java, Scala, Kotlin
• Experience in some of the following: Kubernetes (K8S), 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
• Must be comfortable with on call rotation

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

• 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