WE ARE
SoftServe is a dynamic digital service and consulting company, founded in 1993, with a global presence across the USA, Europe, APAC, and LATAM regions. Our team of skilled professionals collaborates on over 2,000 projects, driving transformation and optimizing business strategies for ISVs and Fortune 500 companies.
Our client is a leading managed WordPress hosting platform, empowering businesses with the performance, security, and reliability they need to grow online. Their platform automates the complexities of WordPress site management, helping teams focus on content and user engagement instead of infrastructure.
The goal of this project is to build and optimize data preparation pipelines to support advanced analytics and data-driven decision-making. The team will consist of five experienced Big Data Engineers working collaboratively to design, develop, and maintain scalable data solutions.
IF YOU ARE
Experienced in Data and Analytics Engineering with 5+ years of hands-on practiceSkilled in Go, Python, or another scripting languageProficient in dbt and SQL for delivering and optimizing data assetsStrong in SQL debugging and query performance tuningFamiliar with automation approaches for testing and tooling to ensure reliable deliverySuccessful in working with one or more cloud platforms, like GCP (preferred), AWS, or AzureKnowledgeable in data warehouse technologies like BigQuery (preferred), Redshift, or SnowflakeConfident in data modeling and organizing/normalizing data using dbtVersed in Git for version control and collaborative developmentA practitioner of Agile methodologies and delivering value iterativelyCapable of translating business requirements into effective data modelsFluent in spoken English at an upper-intermediate level for effective communication in a multicultural environmentAccustomed to big data frameworks such as Spark or Databricks (will be a plus)AND YOU WANT TO
Work directly with the client and their engineering team to deliver high-value data solutionsDevelop and maintain cloud-based data replication pipelines using Python, Go, or tools like FivetranModel, organize, and normalize data using dbtAutomate test cases to ensure data quality and resilience against changesContribute to CI/CD practices for the automated delivery of reliable codeMonitor, troubleshoot, and resolve alerts from data pipelinesDocument systems, data, and architecture, including ERDsCollaborate with cross-functional teams to enhance data warehousing and analytics solutionsPromote best practices and maintain high-quality, maintainable data assetsReview code contributions and guide adoption of standards for healthy, efficient data modelsIdentify and implement process improvements to advance the Data and Analytics Engineering practiceTOGETHER WE WILL
Gain certifications from leading providers (Google, AWS & others)Empower you to scale your expertise with others by joining the Mentoring ProgramExcel business of our clients from startups and ISVs to Enterprise and Fortune 500 companiesCreate an exceptional customer experience and impact the company's global success, and be recognized by the Customer Hero ProgramCare for your wellness with a health insurance package