Senior Data Consultant

We
are seeking a highly skilled and innovative Senior Data Consultant
(Databricks) to join our dynamic Data & Analytics team.
This role is ideal for someone passionate about building scalable data
solutions and driving business value through advanced analytics.

As
a Senior Data Consultant, you will play a key role in designing, developing,
and optimizing data pipelines, collaborating closely with solution architects,
analysts, and cross -functional teams to deliver robust data models and
cloud -based solutions that support enterprise analytics and machine learning
initiatives.

• Design, develop, and maintain end -to -end data pipelines
  using modern data platforms and tools.
  
• Build and manage ETL/ELT processes for large -scale data
  transformation in both real -time and batch modes.
  
• Develop and maintain scalable data models and
  schemas to support analytics and ML applications.
  
• Collaborate with data scientists, analysts, and IT
  teams to gather requirements and deliver high -quality data solutions.
  
• Optimize performance and scalability of data pipelines,
  ensuring efficient resource usage and data quality.
  
• Implement data governance best
  practices, ensuring data integrity, privacy, and security.
  
• Leverage cloud platforms (AWS, Azure, or GCP) to
  implement and manage data pipelines and infrastructure.
  
• Monitor, troubleshoot, and resolve data pipeline issues
  to ensure reliability and uptime.
  
• Automate workflows and implement CI/CD
  pipelines for seamless deployment of data applications.
  
• Stay current with emerging technologies and best
  practices in data engineering and cloud platforms.
  

Requirements

• Bachelor’s or Master’s degree in Computer Science,
  Engineering, Data Science, or a related field.
  
• ​Proven experience as a Senior Data Consultant with
  hands -on expertise in Databricks.
  
• Strong understanding of data warehousing, ETL/ELT,
  and data modeling principles.
  
• Experience with Delta Lake and
  building scalable, high -performance data pipelines.
  
• Hands -on experience with cloud platforms (AWS,
  Azure, or GCP).
  
• Familiarity with tools like Apache Kafka, Airflow,
  or similar orchestration frameworks.
  
• Knowledge of version control (e.g.,
  Git) and CI/CD practices.
  
• Excellent analytical, problem -solving, and
  communication skills.
  

Benefits