Chief Data Infrastructure Specialist

15 hours ago

Islamabad, Islamabad, Pakistan beBeeData Full time $125,000 - $175,000
Job Title

We are seeking a seasoned Data Engineer to spearhead the development and maintenance of our data infrastructure. This is a remote full-time position responsible for designing, building, testing, optimizing and maintaining the infrastructure and code required for data integration, storage, processing, pipelines and analytics (BI, visualization and Advanced Analytics) from ingestion to consumption, implementing data flow controls, and ensuring high data quality and accessibility for analytics and business intelligence purposes.

This role requires a strong foundation in programming, and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies.

We're looking for someone who can quickly ramp up, contribute right away and lead the work in Data & Analytics, helping from backlog definition, to architecture decisions, and lead technical the rest of the team with minimal oversight.

Requirements
  • A bachelor's degree in Computer Science Information Systems, Engineering, or a related field.
  • 5+ years of real-world data engineering development experience in cloud platforms like AWS and GCP.
  • Strong expertise in Python, SQL, PySpark and AWS in an Agile environment, with a proven track record of building and optimizing data pipelines, architectures, and datasets, and proven experience in data storage, modeling, management, lake, warehousing, processing/transformation, integration, cleansing, validation and analytics.
  • Senior person who can understand requirements and design end to end solutions with minimal oversight.
  • Strong programming skills in Python, Scala, and proficient in writing efficient and optimized code for data integration, storage, processing and manipulation.
  • Strong knowledge of SDLC tools and technologies, including project management software, source code management, CI/CD system, and binary repository manager.
  • Good understanding of Data Modeling and Database Design Principles.
  • Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries.
  • Skilled in Data Integration from different sources such as APIs, databases, flat files, event streaming.
Responsibilities
  • Design, implement, deploy, test and maintain 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.

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