Cloud Data Engineer

5 days ago

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

At VisionX, we empower our employees to grow and thrive in their careers. We offer a comprehensive range of benefits and perks that cater to diverse needs and preferences.

Join our dynamic team of innovators and contribute to the development of cutting-edge solutions that drive business results. As a Data Engineer, you will work closely with cross-functional teams to design, build, and maintain scalable data pipelines and systems.

Key Responsibilities:

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

Perks

We offer a comprehensive range of benefits and perks that cater to diverse needs and preferences. Join our dynamic team of innovators and enjoy numerous advantages, including:

Professional growth and development opportunities

Access to our global network of industry experts and mentors

Exciting projects that drive business results

Collaborative and dynamic work environment

Comprehensive benefits package

Recognition and rewards for outstanding performance

Professional networking opportunities

Continuous learning and development programs

Free meals and snacks

On-site fitness center and wellness programs

Mental health support and resources

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