[Hiring] Senior Big Data Software Engineer @EPAM Systems

Role Description

We are seeking a skilled Big Data Engineer to become an essential part of this forward-looking and dynamic team. In this role, you will leverage advanced cloud technologies to deliver impactful solutions. If you excel at tackling complex challenges, creating robust cloud-based solutions, and driving meaningful business outcomes, this opportunity offers the chance to join a fast-paced, collaborative environment where your work shapes global success.

• Build scalable, cloud-based systems in Azure using tools like Azure Data Factory, Azure Data Lake Storage, and Databricks to enhance seamless, high-performance data pipelines.
• Migrate on-premises MS SQL databases to Azure Data Lake, utilizing the Delta Lake format to optimize operational performance.
• Develop interfaces that connect non-Microsoft proprietary applications, enabling interoperability and unlocking valuable data insights.
• Provide expertise in Data Lakes, Data Warehouses (DWH), and Delta Lakehouse architectures to guide transformative business solutions.
• Assess new feature proposals, prioritize them based on business value, and collaborate to make impactful product development decisions.

Qualifications

• 4+ years of experience as a Data Engineer.
• Background in working with Python or Scala.
• Expertise with Databricks or Spark.
• Experience with Clouds: AWS or Azure.
• Background in working with Agile or XP methodologies, thriving in fast-moving, adaptive environments.
• Experience in AI development would be a plus.
• Good English communication skills (Upper-Intermediate/B2+ or higher) to engage effectively with diverse teams and stakeholders.

Requirements

• Proficiency in advanced Azure tools such as Synapse Analytics, Cosmos DB, or Apache Synapse.
• Flexibility to use Core Python or Scala for automation and advanced data processing.