Senior Data Engineer

Job Description

Must Have Technical/Functional

Skills:

• Digital:
  Microsoft Azure;
  Kusto; PL/SQL;
  Digital:
  Microsoft Power BI;
  Microsoft SQL Server 2012 Business Intelligence

• Associate should be able to create Azure Policies and baseline rules.
• Also able to handle KPIs and corresponding dashboard development and maintenance.
• Should have excellent communication to handle the Office Hours or the support work.
• Design and implement scalable data architectures, ensuring high availability, reliability, and performance of data systems.
• Strategically architect, design, develop, and implement efficient information systems and/or operations systems in support of core enterprise functions.
• Understand business requirements, study existing application landscape, and identify redundant/ineffective systems.
• Build, maintain, and optimize data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses or data lakes.
• Create data migration/system integration strategies.
• Conceptualize technical solutions to complex problems and maximize benefit of systems investments.
• Database Management:
  Manage and optimize databases (both SQL and No
  
  SQL), ensuring data consistency, quality, and security.
• Integrate data from disparate sources, including APIs, flat files, and third‑party data, ensuring comprehensive data availability for analytics and reporting.
• Implement and monitor data quality measures to ensure accuracy, completeness, and reliability of data.
• Design and develop/maintain the reports.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Work closely with clients to gain organizational commitment for all systems and software plans, as well as evaluate and guide the selection of technologies required to complete those plans.
• Automate repetitive tasks to improve data processing efficiency and reduce manual intervention.
• Monitor system performance to detect and resolve problems during deployment and support change management.
• Maintain comprehensive documentation for data processes, systems, and pipelines to facilitate knowledge sharing and onboarding.
• Design and develop the reports mostly in Power BI.

• Discretionary Annual Incentive
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range: $64,000 - $99,000 a year