Data Engineering Lead

5 days ago

Islamabad, Islamabad, Pakistan VisionX Technologies, Inc. Full time
About Us

VisionX Technologies, Inc. is a leading innovation partner to Fortune 1000 brands, providing product strategy and custom application development leveraging agile methodologies, technology accelerators, and creating Intellectual Property.

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

Our cutting-edge software products integrate computer vision, 3D modeling, AR, VR, decision sciences, and IoT, addressing various use cases across industries.

Job Overview

We are seeking experienced data engineers to join our expanding Data & Analytics team and contribute to the development of high-quality Data Lakehouse products and solutions. As a Data Engineer, you will leverage your solid data engineering, ETL/ELT, and data integration skills, along with strong analytical abilities, to deliver business benefits.

Key Responsibilities:

  1. Design, build, and maintain scalable data pipelines and systems.
  2. Collaborate with cross-functional teams to understand data requirements and develop appropriate solutions.
  3. Implement and automate ETL processes to extract, transform, and load data from various sources, building Data Lakehouse solutions.
  4. Develop real-time data pipelines and applications using serverless and managed AWS services such as Kafka, Lambda, Kinesis, API Gateway, REST Api, etc.
  5. Develop scalable ETL pipelines for structured, semi-structured, and unstructured data, including both batch and streaming processes.
  6. Standardize and cleanse data for AI, Data Science, and Analytics use cases to support business needs.
  7. Create and optimize databases and data models for efficiency and performance.
  8. Ensure data quality and integrity by performing data validations and implementing quality checks.
  9. Develop and maintain documentation related to data infrastructure and processes.
  10. Troubleshoot and resolve data-related issues.
  11. Stay up to date with the latest trends and technologies in data engineering and data management.

Requirements:

  1. Bachelor's degree in Computer Science, Information Technology, or a related field.
  2. Deep passion for data and demonstrated ability to create high-quality data products.
  3. 4+ years of experience working with customer-centric data on a big data scale, preferably in banking, online, or e-commerce contexts.
  4. 4+ years of hands-on experience building production data pipelines and working with structured, semi-structured, and unstructured data.
  5. 3+ years of experience in engineering data solutions within cloud and hybrid infrastructures, with strong expertise in AWS Cloud.
  6. 2+ years of experience with one or more programming languages, especially Python.
  7. 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.
  8. Proficient in database technologies like AWS S3, MongoDB, DynamoDB, AWS Redshift, Glacier, and other SQL and NoSQL databases.
  9. Experienced with CI/CD pipelines and tools such as Jenkins, GitLab CI, or Azure DevOps.
  10. Experience with modern real-time data pipelines (e.g., serverless framework, Lambda, Kinesis, etc.).
  11. Experience designing ETL/ELT process flows for Data Lakehouse implementation.
  12. Experience in AWS data ecosystem and various other cloud services.
  13. Experienced in different APIs and API integration, along with microservice architecture.
  14. Experience integrating customer contact center data with data Lakehouse is a plus.
  15. Strong analytical, logical, problem-solving, and numerical skills.
  16. A self-starter and creative thinker who collaborates well and communicates confidently.
  17. Effective in communicating with both technical and non-technical audiences.
  18. Proven ability to take initiative and proactively learn new technologies.
  19. Demonstrates a solid work ethic and provides timely, high-quality support.
  20. Embraces a mindset of Continuous Improvement.

Why Choose VisionX

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 outstanding.

You deliver, we make your stay 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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