Data Engineering Specialist

5 days ago

Islamabad, Islamabad, Pakistan beBeeDataEngineering Full time

Job Title: Data Engineering Specialist

Job Description:

We are seeking a highly skilled Data Engineer with expertise in designing and implementing end-to-end data pipelines, including ingestion, transformation, and delivery.

The ideal candidate will have experience working with large-scale datasets, building predictive models, and producing actionable business insights. This role will involve collaborating closely with APIs, cloud services like AWS, and supporting data science and engineering workflows.

Key Responsibilities:
  • Design, build, and maintain end-to-end data pipelines using tools such as Apache Beam or AWS Glue.
  • Process and analyze large-scale datasets using distributed computing tools and AWS services like Redshift or S3.
  • Develop and maintain Python-based scripts for reading/writing data via APIs, including serverless execution using AWS Lambda.
  • Automate log analysis through Python scripting and CloudWatch Logs, supporting anomaly detection and system monitoring.
  • Build and deploy basic machine learning models for forecasting, classification, and pattern detection.
  • Handle runtime/live data updates (e.g., 15-minute intervals) for critical dashboards and models.
  • Conduct statistical analyses, A/B testing, and hypothesis testing to guide business decisions.
  • Collaborate with business and technical teams to translate challenges into data-driven solutions.
  • Create dashboards, reports, and visualizations using tools like Power BI, Tableau, or Plotly.
  • Ensure data integrity, quality, and validation throughout data processes.

Required Skills & Qualifications:

  • 5+ years of experience in a Data Science or Data Engineering role.
  • Strong proficiency in Python and libraries like Pandas, NumPy, scikit-learn, and TensorFlow or PyTorch.
  • Experience with SQL for querying and manipulating large datasets.
  • Solid understanding of statistics, data mining, and machine learning techniques.
  • Experience with real-time data processing and designing solutions for live updates.
  • Familiarity with AWS services such as Lambda, S3, CloudWatch, Redshift, and Glue.
  • Strong understanding of data modelling, ETL/ELT workflows, and data warehousing.
  • Knowledge of data warehousing models such as star schema, snowflake schema, and dimensional modeling.
  • Experience in log data analysis, anomaly detection, and monitoring automation.
  • Strong grasp of data storytelling, data visualization, and business reporting.
  • Excellent communication skills, especially in translating technical findings for non-technical stakeholders.
  • Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.

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