Data Engineer

3 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

About this role

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.

Responsibilities

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

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 4+ years of experience working with customer-centric data on a big data scale, preferably in a banking, online, or e-commerce context.
  • Hands-on experience building production data pipelines and working with structured, semi-structured, and unstructured data.
  • 3+ years of experience in engineering data solutions within both cloud and hybrid infrastructures, with strong expertise in AWS Cloud.
  • 2+ years of experience with one or more programming languages, especially Python.
  • Experience with data integration/ETL technologies such as Python, Spark/PySpark, Kafka/Kinesis/EMR, Lambda, API Gateway, REST API, AWS Glue, etc.
  • Proficient in database technologies like AWS S3, MongoDB, DynamoDB, AWS Redshift, Glacier, and other SQL and NoSQL databases.
  • Experienced with CI/CD pipelines and tools such as Jenkins, GitLab CI, or Azure DevOps.
  • Experience with modern real-time data pipelines (e.g., serverless framework, Lambda, Kinesis, etc.).
  • Strong analytical, logical, problem-solving and numerical skills.
  • A self-starter and creative thinker who collaborates well and communicates confidently.
  • Effective in communicating with both technical and non-technical audiences.
  • Proven ability to take initiative and proactively learn new technologies.

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