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Data Engineer for Enterprise Digital Transformation

2 tygodni temu

Gdańsk, Pomerania, Polska Grid Dynamics Poland Pełny etat

At Grid Dynamics, we are seeking a skilled Data Engineer to join our team in Poland. As a Senior Big Data Engineer Java Scala, you will play a critical role in designing and developing scalable and reliable big data solutions using Scala, Hadoop, and Spark technologies.

About Us

Grid Dynamics is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. We solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.

Job Description
  • Data Engineering Expertise
  • We are looking for experienced professionals with strong programming skills in Scala and Java, including a deep understanding of functional programming concepts.
  • The ideal candidate will have expertise in big data technologies, including Apache Hadoop ecosystem components such as HDFS, MapReduce, Hive, Pig, and HBase.
  • Advanced knowledge of Apache Spark, including Spark Core, Spark SQL, Spark Streaming, and MLlib for large-scale data processing and analytics.
Key Responsibilities
  • Design and Develop Big Data Solutions: Architect, design, and implement scalable and reliable big data solutions using Scala, Hadoop, and Spark technologies.
  • Data Ingestion and Processing: Develop robust data ingestion processes to acquire, clean, and transform large volumes of structured and unstructured data from various sources into usable formats.
  • Optimize Data Pipelines: Build and optimize data pipelines and workflows for efficient data processing, storage, and retrieval, ensuring high performance and low latency.
What We Offer
  • A dynamic work environment with a highly motivated and dedicated team.
  • Competitive salary and benefits package.
  • Opportunities for professional development and growth.

We are an equal opportunities employer and welcome applications from diverse candidates.