Data Engineer

7 hours ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

About the Role

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We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of our Data & Analytics team, you will play a crucial role in developing high-quality Data Lakehouse products and solutions.

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Key Responsibilities

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  1. ">
  2. Understand business requirements and identify appropriate data and analytics tools and technologies to solve problems.">
  3. Participate in the architecture and execution of technology solutions.">
  4. Help evolve, build, and maintain data pipelines for multiple data sources and interface with system owners.">
  5. Design and develop data models, and ETL/ELT workflows for Data Lake House products/solutions.">
  6. Manage the entire data flow, from acquisition to transformation into actionable insights using SQL, Python, and other ETL technologies.">
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Requirements

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You must have at least 8+ years of data engineering experience in implementing Big Data, Data Lakehouse, and Data Warehouse solutions.

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Possess hands-on experience building production data pipelines and working with structured, semi-structured, and unstructured data.

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Accumulate 6+ years of experience in engineering data solutions within both cloud and hybrid infrastructures, with strong expertise in AWS cloud.

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Have extensive experience with the AWS data and AI technology stack and developing and deploying scalable tools and services to handle large data sets.

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Experienced in identifying and evaluating new technologies to enhance the performance, maintainability, and reliability of data pipelines.

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Apply software engineering rigor and best practices to data engineering, including automation.

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Hands-on experience with data integration/ETL technologies such as Python, Spark/PySpark, Kafka/Kinesis/EMR, Lambda, API Gateway, REST API, AWS Glue, etc.

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Proficient in database technologies like AWS S3, MongoDB, DynamoDB, AWS Redshift, Glacier, and other SQL and NoSQL databases.

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Experienced with CI/CD pipelines and tools such as Jenkins, GitLab CI, or Azure DevOps.

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Deep architectural understanding of relational and non-relational systems, especially with a focus on massively parallel processing database technologies and on-premises, hybrid cloud technologies in IaaS/PaaS/DBaaS.

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Consult on optimal design of database environments, performance improvements, analyzing complex distributed production deployments, data security, and best practices for cloud adoption.

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Extensive experience in database design, ETL/ELT process development, Data Lakehouse performance tuning, and storage optimization.

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Strong understanding of modern cloud platforms (AWS/GCP/Azure) and various cloud services.

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Hands-on experience in different APIs and API integration, along with microservice architecture.

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Experience in integrating customer contact center data with Lakehouse is a plus.

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Strong analytical, logical, problem-solving and numerical skills.

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A self-starter and creative thinker who collaborates well and communicates confidently, driven by a passion for excellence.

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Capable of handling multiple assignments/projects simultaneously, prioritizing workloads to meet competing deadlines.

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Adept at building strong relationships that foster robust debate and efficiently resolve periodic disagreements about priorities.

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Effective in communicating with both technical and non-technical audiences.

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Proven ability to take initiative and proactively learn new technologies.

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Demonstrates a solid work ethic and provides timely, high-quality support.

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Embraces a mindset of Continuous Improvement.

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