Sr. Data Engineer

ry or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations

• Use Azure Data Factory and Databricks to assemble large, complex data sets

• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.

• Ensure data security and compliance

• Optimize Azure SQL databases for efficient query performance

• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

• Participate in all scrum ceremonies

Basic Qualifications

• Bachelor's degree or foreign equivalent in Computer Science or related field.

• 7+ years of IT experience , including data engineering and cloud solutions.

• English - strong verbal and written communication.

• Proven experience implementing Azure services in enterprise environments.

• Knowledge of infrastructure (networking, storage, hardware optimization).

Mandatory Skills

• Azure Certification : Solutions Architect, Developer

• Hands-on experience with: ADF, Synapse Analytics, Data Lake storage, SQL database / SQL server, Azure Databricks

• Python, PySpark

• ETL and Pipeline designs

Preferred Skills

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams

• Azure DevOps

• Apache Spark, Python

• SQL proficiency

• Data modeling

• ETL processes

• Azure Databricks knowledge

• Familiarity with data warehousing

• Big data technologies

• Data governance principles

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Other Requirements

• Ability to work under tight timelines and manage complex requirements.
• Flexible to work extended hours if needed.
• Self-motivated, proactive, and a strong team player.