Senior Data Architect

5 days ago


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

At VisionX, we strive to be at the forefront of innovation, providing cutting-edge solutions to Fortune 1000 brands. Our team of experts has a proven track record of success, having developed innovative products and strategies that drive business results.

With a focus on agility, technology accelerators, and Intellectual Property creation, we continue to push the boundaries of what is possible in the world of technology.

Job Overview

We are seeking talented data engineers to join our growing Data & Analytics team, contributing to the development of high-quality Data Lakehouse products and solutions. As a Data Engineer, you will utilize your expertise in data engineering, ETL/ELT, and data integration to deliver business benefits.

Key Responsibilities:

  1. Develop and maintain scalable data pipelines and systems, ensuring seamless data flow.
  2. Work closely with cross-functional teams to understand data requirements and develop tailored solutions.
  3. Implement and automate ETL processes to extract, transform, and load data from various sources, driving Data Lakehouse solutions.
  4. Design and deploy real-time data pipelines and applications using serverless and managed AWS services, enhancing business insights.
  5. Develop scalable ETL pipelines for structured, semi-structured, and unstructured data, including batch and streaming processes.
  6. Standardize and cleanse data for AI, Data Science, and Analytics use cases, supporting business objectives.
  7. Create and optimize databases and data models for efficiency and performance.
  8. Ensure data quality and integrity through data validations and quality checks.
  9. Develop and maintain documentation related to data infrastructure and processes.
  10. Troubleshoot and resolve data-related issues efficiently.
  11. Stay current 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. Passion for data and proven 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.

Benefits

As a member of our team, you will enjoy numerous benefits, including access to our global network of industry experts and mentors, opportunities for professional growth and development, and a chance to work on exciting projects that drive business results.

We offer a collaborative and dynamic work environment, with a focus on delivering client value through our work. You will be part of a team that is passionate about innovation and committed to excellence.

We value diversity and 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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