Senior Data Engineering Leader

1 day ago

Gujranwala, Punjab, Pakistan beBeeData Full time $100,000 - $125,000
We are seeking an experienced Senior Data Engineering Leader to design, build and maintain large-scale data systems. This is a full-time remote position responsible for infrastructure and code required for data integration, storage, processing, pipelines and analytics from ingestion to consumption.The ideal candidate will have a strong foundation in programming and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies. They should be able to quickly ramp up, contribute right away and lead the work in Data & Analytics, helping from backlog definition to architecture decisions.This role requires a senior person who can understand requirements and design end-to-end solutions with minimal oversight. The successful candidate will possess strong leadership skills, excellent communication skills and the ability to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data analysts, data scientists, developers and operations teams.Key responsibilities include designing, implementing, deploying, testing and maintaining highly scalable and efficient data architectures, ensuring the scalability, reliability, quality and performance of data systems, mentoring and guiding junior/mid-level data engineers, collaborating with Product, Engineering, Data Scientists and Analysts to understand data requirements and develop data solutions, including reusable components, evaluating and implementing new technologies and tools to improve data integration, data processing and analysis.
  • Designing, implementing, deploying, testing and maintaining highly scalable and efficient data architectures, defining and maintaining standards and best practices for data management independently with minimal guidance.
  • Ensuring the scalability, reliability, quality and performance of data systems.
  • Mentoring and guiding junior/mid-level data engineers.
  • Collaborating with Product, Engineering, Data Scientists and Analysts to understand data requirements and develop data solutions, including reusable components.
  • Evaluating and implementing new technologies and tools to improve data integration, data processing and analysis.
  • Designing architecture, observability and testing strategies, and building reliable infrastructure and data pipelines.
  • Taking ownership of storage layer, data management tasks, including schema design, indexing and performance tuning.
  • Swiftly addressing and resolving complex data engineering issues, incidents and resolve bottlenecks in SQL queries and database operations.
  • Conducting discovery on existing data infrastructure and proposed architecture.
  • Evaluating and implementing cutting-edge technologies and methodologies and continue learning and expanding skills in data engineering and cloud platforms, to improve and modernize existing data systems.
  • Evaluating, designing and implementing data governance solutions: cataloging, lineage, quality and data governance frameworks that are suitable for a modern analytics solution, considering industry-standard best practices and patterns.
  • Defining and documenting data engineering architectures, processes and data flows.
  • Assessing best practices and designing schemas that match business needs for delivering a modern analytics solution (descriptive, diagnostic, predictive, prescriptive).
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status or any other legally protected group status.

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