High-Quality Data Products Specialist

18 hours ago

Islamabad, Islamabad, Pakistan beBeeData Full time
Job Role: Data Engineer

We're seeking a skilled data engineer to join our team and help us develop high-quality data lakehouse products and solutions. You will leverage your expertise in data engineering, ETL/ELT, and data integration to deliver valuable business benefits.

Responsibilities:

  1. Design and build scalable data pipelines and systems to extract, transform, and load data from various sources.
  2. Collaborate with cross-functional teams to understand data requirements and develop appropriate solutions.
  3. Implement and automate ETL processes to build Data Lakehouse solutions.
  4. Develop real-time data pipelines and applications using serverless and managed AWS services such as Kafka, Lambda, Kinesis, API Gateway, and REST Api.
  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.

Requirements:

  1. Bachelor's degree in Computer Science, Information Technology, or a related field.
  2. Possess a deep passion for data and a 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 a banking, online, or e-commerce context.
  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 both 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. Strong analytical, logical, problem-solving and numerical skills.
  15. A self-starter and creative thinker who collaborates well and communicates confidently.
  16. Effective in communicating with both technical and non-technical audiences.
  17. Proven ability to take initiative and proactively learn new technologies.
  18. Demonstrates a solid work ethic and provides timely, high-quality support.
  19. Embraces a mindset of Continuous Improvement.

Why Choose Us:

We offer a global network of industry experts and mentors to help shape your growth and future. We believe in delivering client value through our work. Our mission is to make your stay and journey with us worthwhile.

We are an equal opportunity employer, and we value diversity.

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