Data Engineering Specialist

2 weeks ago

Islamabad, Islamabad, Pakistan VisionX Technologies, Inc. Full time
Company Overview

VisionX Technologies, Inc. is a leading innovation partner for world-class brands and Fortune 1000 companies. We provide cutting-edge product strategy and custom application development leveraging agile methodologies, technology accelerators, and intellectual property creation.

We have been recognized as one of the Top 10 Most Innovative Companies of 2020 by Fast Company, alongside renowned organizations like Microsoft and Snap Inc.

Job Description

We are seeking an experienced Data Engineer to join our expanding Data & Analytics team and contribute to the development of high-quality Data Lakehouse products and solutions.

The successful candidate will leverage their solid data engineering, ETL/ELT, and data integration skills, along with strong analytical abilities, to deliver valuable business benefits.

This role involves designing, building, and maintaining scalable data pipelines and systems, collaborating with cross-functional teams to understand data requirements, implementing and automating ETL processes, and developing real-time data pipelines and applications using serverless and managed AWS services.

Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Possess a deep passion for data and a demonstrated ability to create high-quality data products.
  • 4+ years of experience working with customer-centric data on a big data scale, preferably in a banking, online, or e-commerce context.
  • 4+ years of hands-on experience building production data pipelines and working with structured, semi-structured, and unstructured data.
  • 3+ years of experience in engineering data solutions within both cloud and hybrid infrastructures, with strong expertise in AWS Cloud.
  • 2+ years of experience with one or more programming languages, especially Python.
  • 2+ years of experience with data integration/ETL technologies such as Python, Spark/PySpark, Kafka/Kinesis/EMR, Lambda, API Gateway, REST API, AWS Glue, etc.
  • Proficient in database technologies like AWS S3, MongoDB, DynamoDB, AWS Redshift, Glacier, and other SQL and NoSQL databases.
  • Experienced with CI/CD pipelines and tools such as Jenkins, GitLab CI, or Azure DevOps.
  • Experience with modern real-time data pipelines (e.g., serverless framework, Lambda, Kinesis, etc.).
  • Experience designing ETL/ELT process flows for Data Lakehouse implementation.
  • Experience in AWS data ecosystem and various other cloud services.
  • Experienced in different APIs and API integration, along with microservice architecture.
  • Experience integrating customer contact center data with data Lakehouse is a plus.
Benefits

Our global network of industry experts and mentors helps shape your growth and future. We believe in delivering client value through our work. We build products that are not good or great, but outstanding.

You deliver We will make your stay and journey with us worthwhile.

We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.

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