Senior Data Consultant

The Data Senior Consultant is responsible for leading the design, implementation, and optimization of data-driven solutions for clients. They serve as a subject matter expert, guiding the organization's data strategy and overseeing the delivery of data engineering, analytics, and business intelligence projects.

Roles and responsibilities:

• Define the overall data architecture and roadmap to support the organization's business objectives and data requirements
• Design and implement scalable, secure, and high-performance data infrastructure, including data lakes, data warehouses
• Develop robust data ingestion, transformation, and processing pipelines using modern data engineering tools and techniques
• Optimize data storage, access, and query performance through the effective use of database technologies, indexing, and partitioning
• Implement data governance and quality controls to ensure the integrity, security, and compliance of data assets

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related technical field
• 7+ years of experience in data engineering, analytics, or business intelligence roles
• Expertise in designing and implementing data platforms and architectures, including data lakes, data warehouses
• Proficiency in data ingestion, transformation, and processing technologies (e.g. Apache Spark, Apache Kafka, Apache Airflow, Databricks)
• Strong working knowledge of relational databases (e.g. SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB, Cassandra, Couchbase)
• Experience with ETL/ELT tools and data integration frameworks.
• Experience with cloud-based data services and platforms (e.g. Azure Synapse, Google BigQuery, AWS Glue)
• Expertise in data modeling, dimensional modeling, and schema design
• Familiarity with data visualization and business intelligence tools (e.g. Power BI, Tableau, Qlik)
• Understanding of data mining, machine learning, and predictive analytics techniques
• Ability to translate complex data requirements into scalable, efficient, and maintainable solutions
• Industry certifications (e.g. AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, Google Cloud Certified Data Engineer)