Data Analysis and Backend Development Expert

2 weeks ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

Job Title: Data Analysis and Backend Development Expert

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This is a mid-level role that requires expertise in Python, backend development, and data analysis. We are seeking a skilled developer to develop scalable backend services and analyze complex datasets to drive data-driven decision-making.

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Key Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends, patterns, and actionable insights.
  • Design, develop, test, and maintain scalable and efficient backend microservices that support client-facing and internal applications and processes.
  • Collaborate with cross-functional teams to define key metrics and improve business outcomes.
  • Participate in data governance activities to ensure data accuracy, integrity, and security.
  • Support predictive analytics and machine learning initiatives by preparing datasets and conducting exploratory data analysis (EDA).
  • Estimate the level of effort, evaluate new options of similar technology, offer suggestions to improve processes, and provide comments on software design aspects.
  • Document solution design, interfaces, implementations, and dependencies.
  • Develop moderately complex software in Python for products consistently following coding standards and applicable software development methodology.
  • Create and execute unit/end-to-end tests for TDD using automated testing frameworks to ensure functional integrity of solutions.

Requirements:

  • Bachelor's degree in IT, Computer Science, or Data Science.
  • 3+ years of experience in Python for backend development and data analysis.
  • Excellent experience working with relational and NoSQL databases.
  • Proficiency in developing REST APIs and integrating third-party APIs.
  • 2+ years of experience with cloud platforms, Docker, and microservices.
  • Hands-on experience with Git, GitHub Actions, CloudFormation, ECS/EKS, AWS Lambda, AWS IoT, and New Relic.
  • Experience with automated unit and integration testing and CD/CI processes.
  • Strong understanding of data engineering principles, working experience with large datasets, statistical analysis, and machine learning concepts.
  • Experience with business intelligence tools like AWS QuickSight for data visualization and analysis.
  • Good to have: AWS Kinesis, Kafka, Apache Spark, Timestream.
  • Experience with ETL pipelines, data wrangling, and transformation techniques.
  • Strong problem-solving skills and the ability to derive meaningful insights from complex data.
  • Excellent communication skills – verbal and written.

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