
Middle Big Data Software Engineer
5 дней назад
DIRECTION:
BIG DATA
TECHNICAL LEVEL:
INTERMEDIATE
LOCATION:
UKRAINE
PERSONAL RECRUITER:
VERONIKA KLYMENKOVA
WE ARESoftServe 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.
IF YOU ARE- Experienced in Data and Analytics Engineering with 3+ years of hands-on practice
- Skilled in Go, Python, or another scripting language
- Proficient in dbt and SQL for delivering and optimizing data assets
- Strong in SQL debugging and query performance tuning
- Familiar with automation approaches for testing and tooling to ensure reliable delivery
- Successful in working with one or more cloud platforms, like GCP (preferred), AWS, or Azure
- Knowledgeable in data warehouse technologies like BigQuery (preferred), Redshift, or Snowflake
- Confident in data modeling and organizing/normalizing data using dbt
- Versed in Git for version control and collaborative development
- A practitioner of Agile methodologies, used to delivering value iteratively
- Capable of translating business requirements into effective data models
- Fluent in spoken English at an upper-intermediate level for effective communication in a multicultural environment
- Accustomed to big data frameworks such as Spark or Databricks (will be a plus)
- Work directly with the client and their engineering team to deliver high-value data solutions
- Develop and maintain cloud-based data replication pipelines using Python, Go, or tools like Fivetran
- Model, organize, and normalize data using dbt
- Automate test cases to ensure data quality and resilience against changes
- Contribute to CI/CD practices for the automated delivery of reliable code
- Monitor, troubleshoot, and resolve alerts from data pipelines
- Document systems, data, and architecture, including ERDs
- Collaborate with cross-functional teams to enhance data warehousing and analytics solutions
- Promote best practices and maintain high-quality, maintainable data assets
- Review code contributions and guide adoption of standards for healthy, efficient data models
- Identify and implement process improvements to advance the Data and Analytics Engineering practice
- Gain certifications from leading providers (Google, AWS & others)
- Empower you to scale your expertise with others by joining the Mentoring Program
- Excel business of our clients from startups and ISVs to Enterprise and Fortune 500 companies
- Create an exceptional customer experience and impact the company's global success, and be recognized by the Customer Hero Program
- Care for your wellness with a health insurance package
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let's put your talents and experience in motion with SoftServe.
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