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We are Semantive, an innovative multi-cloud services company that empowers enterprises and SMBs to build a strong foundation for future growth through successful cloud transformation and expertise in applying cloud technologies to unlock new possibilities. Our goal is to see the client from their perspective, build relationships based on mutual benefit, and contribute to the efficiency and optimization of clients' businesses.

We are a team of 45+ high-seniority professionals specializing in solutions that help our clients in digital transformation. We focus on long-term relationships and offer the opportunity to actively influence the development of the organization. We create an inspiring atmosphere based on transparency and cooperation.

Our mission is to support customers at various stages of their cloud journey, from initial migration and cloud-native modernization to building platforms and scaling Infrastructure as Code processes for multiple development teams.

Job Description

We are seeking a talented Cloud Data Analytics Specialist eager to join us on this mission.

The role involves:

  • Designing, building, and maintaining scalable ETL pipelines using Azure Data Factory, FiveTran, and DBT.
  • Ensuring efficient data ingestion, transformation, and delivery for analytics and reporting.
  • Developing and optimizing data models using DBT to enable business intelligence and analytics.
  • Collaborating closely with business stakeholders to understand data needs, translate them into technical solutions, and provide actionable insights.
  • Working with MS Azure tech stack.
  • Utilizing Delta Parquet for efficient data storage and querying.
  • Automating data transformation and delivery processes using CI/CD pipelines.
  • Ensuring data integrity and compliance with governance tools like Unity, DataHub.
  • Monitoring and enhancing data quality across pipelines and storage systems.
  • Working closely with data analysts, data scientists, and business stakeholders to define data needs.
  • Enabling self-service analytics by ensuring well-structured and accessible data for BI tools like Power BI.
Requirements
  • Strong experience in DBT for transforming raw data into structured, analytics-ready datasets.
  • Expertise in SQL and working with cloud data warehouses like Snowflake or Databricks.
  • Experience with ETL tools such as Azure Data Factory and FiveTran to extract, transform, and load data efficiently.
  • Experience with data testing frameworks.
  • Experience with data modeling patterns (Kimball, Data Vault).
  • Experience with GitHub/Azure DevOps for version control and pipeline automation.
  • Understanding of data governance best practices and tools like Unity or DataHub for metadata management and data lineage tracking.
  • Ability to integrate data pipelines with visualization tools like Power BI.
  • Familiarity with REST APIs for integrating external data sources into data platforms.
  • Professional English proficiency both written and spoken (min. B2+/C1).
Perks and Benefits
  • Fully remote working model.
  • Consulting mindset.
  • Knowledge-sharing sessions, Lightning Talks.
  • Employee referral program.