Senior BigData Developer with Python / Spark / ETL

Местоположение и тип занятости

Санкт-ПетербургПолный рабочий деньМожно удаленно


We accelerate digital transformation through emerging technologies

Описание вакансии

Условия работы

We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills. The ideal candidate will have familiarity with data transformation, data modeling, Master data management, and Meta data management.


  • Familiar with Agile practices and methodologies
  • Professional data engineering experience focused on batch and real time data pipelines using Spark, PySpark, Python, SQL, Java
  • Hands-on design and development experience in data space : data processing / data transformation using ETL tools, data warehouse (data modeling, programming), RDBMS Exposure in Microsoft technologies like SSIS, SQL Server, SSRS
  • Experience with a DevOps model utilizing a CI/CD tool
  • Proactive approach to problem solving with effective influencing skills
  • Familiar with Agile practices and methodologies

Nice-to-Have Experience:

  • Hands-on Talend work experience
  • Understanding of data science and visualization technologies (Hadoop, Spark, Databricks)
  • Experience working on a cloud environment, preferably, Microsoft Azure Cloud Data Warehouse solutions (Snowflake, Azure DW)

About us:

Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.