Cloud-Based Data Infrastructure Architect

1 week ago


Islamabad, Islamabad, Pakistan beBee Careers Full time

Creating High-Impact Data Solutions

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We are searching for a skilled Data Engineer to develop innovative data lakehouse solutions that drive business results. The ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and a proven track record of delivering high-quality data products.

About the Role

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  • The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and systems.
  • They will collaborate with cross-functional teams to understand data requirements and develop appropriate solutions.
  • One of the key responsibilities will be to implement and automate ETL processes to extract, transform, and load data from various sources.
  • The successful candidate will also develop real-time data pipelines and applications using serverless and managed AWS services.
  • Additionally, they will ensure data quality and integrity by performing data validations and implementing quality checks.
  • You will also develop and maintain documentation related to data infrastructure and processes.
  • Troubleshooting and resolving data-related issues will be another critical aspect of this role.

Requirements

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


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