Senior Data Engineer

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GITMAX IT Services Zrt.
Munkavégzés helye

Hibrid • Indianapolis

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- DATABASES AWS AZURE POSTGRESQL SQL PYTHON DATABASE BI ANALYTICS SCRUM AGILE ORACLE MYSQL GIT DYNAMICS PANDAS DOCKER GDPR SOX POWER BI
Elvárások
- Nem kell nyelvtudás
- 5-10 év tapasztalat
- Egyetem

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Design and architect end-to-end Microsoft Fabric solutions (data lakes, warehouses, real-time analytics)
Build and optimize pipelines integrating diverse data sources (SQL, APIs, Salesforce, Oracle, Dynamics)
Implement Direct Lake connectivity and optimize semantic models for analytics
Lead advanced data modeling initiatives (dimensional, star/snowflake, data vault)
Develop SQL queries, stored procedures, and database optimization strategies
Build Python applications for data processing and automation
Implement real-time analytics solutions (Event Streams, KQL Database)
Lead technical discovery sessions to understand client data landscapes
Collaborate with stakeholders to translate business needs into technical solutions
Mentor junior engineers and review code to ensure best practices
Provide expertise during pre-sales and proposal development
Optimize performance via indexing, partitioning, and query tuning
Implement data quality, lineage, and monitoring frameworks
Ensure compliance with data privacy regulations (GDPR, HIPAA, SOX)
Establish CI/CD pipelines for data engineering workflows

Requirements

5+ years in data engineering or analytics engineering roles
Hands-on experience with Microsoft Fabric (Data Factory, OneLake, Lakehouse, Dataflows Gen2, Direct Lake, Notebooks, Power BI, KQL databases)
Advanced Python skills with Pandas, NumPy, SQLAlchemy, PySpark
Expert-level SQL across multiple database platforms (SQL Server, PostgreSQL, Snowflake, MySQL)
Experience with Snowflake, Azure, and AWS
Proficiency with Git and collaborative workflows
Familiarity with containerization (Docker, Kubernetes)
Advanced understanding of data modeling (dimensional, normalization/denormalization, data vault)
Experience implementing SCDs (Types 1–7)
Knowledge of modern data architecture patterns (data mesh, lakehouse)
Strong background in data governance, lineage, and quality
Strong client-facing communication skills
Ability to work independently across multiple projects
Experience in Agile/Scrum environments

What we offer

Competitive compensation package
Full medical, dental, and vision coverage
Fully vested 401K plan
Flexible hybrid/onsite schedule
Wellness and fitness programs
Catered lunches and collaborative work environment
Training and development opportunities to support continuous learning