Data Engineering Expert

Tbi Bank Ro

3d•Onsite

About The Position

We are looking for a customer-oriented Service Desk Technician to provide first-line IT support to internal users. The role focuses on resolving incidents, supporting Microsoft 365 environments, and ensuring a smooth user experience.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, or similar field
3+ years of related work experience
Proven experience managing cloud-based and on-premise data systems (AWS, Azure, etc.)
Proficiency in SQL, Python, and ETL tools like Azure Data Factory and Snowflake
Strong knowledge of data modeling (Kimball, Inmon) and database design
Hands-on experience with data transformation tools
Proficient in Power BI, Tableau, or similar BI tools for reporting
Experience with cloud data services (e.g., Redshift, BigQuery, Snowflake)
Familiarity with data orchestration tools like Apache NiFi, Luigi, or Prefect
Experience with CI/CD pipelines and DevOps tools (especially Azure DevOps)
Knowledge of Git and collaboration platforms (GitHub, GitLab, Bitbucket)
Fluent English skills (both written and spoken)
Excellent communication skills to explain technical concepts to stakeholders
Strong analytical and problem-solving skills

Nice To Haves

Hands-on experience with DBT for data transformation and data modeling
Experience with Streamlit for developing data-driven applications and analytical solutions
Familiarity with Snowflake Openflow and modern data ingestion frameworks
Certifications in cloud platforms (e.g., AWS Data Analytics, Google Cloud Data Engineer) is advantage

Responsibilities

Design, develop, and manage scalable data warehouse and data lake systems, both on-premises and in the cloud
Implement and maintain data modeling frameworks using UML and other design tools
Build and maintain ETL/ELT data pipelines to integrate diverse data sources
Ensure real-time and batch data ingestion, transformation, and loading
Ensure data accessibility, performance, and usability by optimizing query performance and addressing latency issues
Build and optimize data validation processes and analytical tools to support data-driven decision-making
Develop data governance methodologies, including data glossary, security protocols, and access management
Ensure compliance with internal and external data standards and regulations
Collaborate with cross-functional teams (data science, business intelligence, product management) to understand business needs and translate them into technical specifications
Provide technical guidance and mentorship to junior data engineers
Design and implement monitoring and alerting systems to ensure data quality, system stability, and optimal performance
Proactively address technical challenges and system limitations to prevent downtime