Senior Data Engineer

• Architect implement and maintain highperformance data pipelines utilizing GCP services particularly BigQuery Cloud Storage Cloud Functions and Dataflow ensuring optimal data flow and accessibility.
• Design and write highly efficient scalable SQL queries including complex joins CTEs and aggregations to enable robust data analysis and reporting across multiple operational facets.
• Develop ETL (Extract Transform Load) processes using SSIS for operational data integration and leverage SSRS for generating executivelevel reporting and analytics dashboards.
• Employ Python to create productionquality scripts and applications for data ingestion transformation and visualization utilizing libraries such as Pandas NumPy or Apache Airflow for orchestrating workflows.
• Engage with crossfunctional teams to elicit document and analyze business requirements subsequently translating these into comprehensive technical specifications data models and workflows.
• Implement and uphold data governance frameworks to ensure data integrity quality control and security protocols across all data engineering processes.
• Monitor data pipelines and system performance metrics identifying bottlenecks and implementing solutions to optimize throughput and minimize downtime.
• Provide analytical insights and recommendations to project and client management facilitating datadriven decisionmaking.
• Mentor junior data engineering staff cultivating an environment of knowledge sharing and professional development.
• Stay abreast of latest trends in data engineering technologies tools and methodologies to continually refine our data practices.

• Bachelor s degree in Computer Science Engineering Data Science or a related discipline; a Master s degree is highly desirable.
• A minimum of 8 years of experience in the field of data engineering particularly within GCP and the BigQuery architecture.
• Profound experience in formulating and executing complex SQL queries and a solid understanding of relational database design principles.
• Advanced proficiency with SSIS for ETL processes and SSRS for business intelligence reporting.
• Strong programming skills in Python with a focus on data manipulation and the development of scalable ETL solutions.
• Demonstrated ability in constructing deploying and maintaining data engineering pipelines utilizing modern best practices.
• Strong verbal and written communication skills complemented by an ability to liaise effectively between technical teams and business stakeholders.
• Exceptional analytical and problemsolving capabilities with a proactive approach towards diagnosing and resolving issues.
• Working knowledge of data governance principles compliance with data privacy regulations and industry best practices.

• Familiarity with additional GCP services such as Cloud Dataflow for stream/batch processing Dataproc for managing Hadoop/Spark clusters or Pub/Sub for messaging services.
• Understanding of machine learning concepts and frameworks (e.g. TensorFlow scikitlearn) to integrate predictive analytics within data solutions.
• Experience working within Agile environments and proficiency with project management tools (e.g. JIRA Trello).

• A competitive salary and comprehensive benefits package.
• Opportunities for continued professional development and advancement within a cuttingedge environment.
• A collaborative workspace that encourages innovation and creativity.
• Flexible working options to support worklife balance.

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