Data Engineer Manager & Senior Manager

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Job Title: Data Engineering Manager & Senior Manager

Job Type: Permanent, Full-Time

Location: Remote

Salary: Manager: $135K - $175K / Senior Manager: $175K - $235KSummaryThe hiring company is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of almost 300,000 team members internationally. With its strong 50 year heritage and deep industry expertise, they are trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, AI, connectivity, software, digital engineering and platforms. The Group's core offer is supported by three specialized sub-brands that enable a full suite of end-to-end solutions for our clients.The Group believes that digital transformation should benefit all of humanity. They intend to be a benchmark in terms of its contribution to society, not just for its own activities but for those of its customers too, fighting exclusion and acting to promote diversity, ensuring equal opportunities and the preservation of natural resources. The very heart of the Group's purpose is to build an inclusive and sustainable future for all, enabled by technology, drawing on the energy of its talents and also the talents of its customers and partners.The Group has always been a value-based organization: Guided by Group Values, they seek to adopt an ethical mindset and ethical behavior in all the daily business activities. The Code of Business Ethics formalizes and explains the Values and principles of action. It sets out their aspirations, and provides them with guidance and best practices in 5 key areas: a safe and inclusive work environment, trust in business relationships, security and integrity of the Group and third-party assets, corporate social responsibility, speaking up culture.Technical Proficiencies and Qualifications: 6-12 years of Total ExperienceCurrent Azure certificationAt least 3 years of recent, hands-on experience in the Azure eco-systemHighly proficient at SQL developmentSignificant experience in core engineering languages (Python, PySpark, Spark); hands-on experience with Azure Databricks is a significant plusHands on experience preparing complex SQL views, stored procs in Azure SQL DW & HyperscaleExperience working with different data storage options including Azure BLOB Storage, ADLS Gen 1 & Gen 2 etc.Experience with Azure Data FactoryAble to design, build, implement and orchestrate end-to-end data pipelinesCompetent in data modeling and dimensional modeling to design optimal data solutionsAble to create and maintain data quality checks and pipelines using CI/CD methodologiesExperience handling large & complex datasets from structured and unstructured data sourcesSolid grasp of database engineering & design best practices Benefits:Bonus/Comp packagesPTORemote401KMedical/Dental/VisionGrowth Opportunity Please email [email protected] for immediate consideration!