Senior Data Engineer

2 weeks ago


Remote, India AsalJobs Full time
Job Description

Role Summary

We are seeking a highly skilled Senior Data Engineer to join our team at AsalJobs. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, Spark, and Azure cloud environment.

Key Responsibilities

  • Design, implement, and optimize end-to-end data pipelines using Azure Databricks, ensuring reliability, scalability, and performance.
  • Utilize Azure Databricks for data transformation tasks, including cleansing, aggregation, and enrichment of datasets.
  • Implement automation for data workflows and monitoring pipelines to ensure data integrity and availability.
  • Collaborate with actuarial scientists and analysts to develop data-driven solutions.

Requirements

  • 6-10 years of hands-on experience in SQL and Python development.
  • Proven track record of building complex data validation and transformation projects using both SQL and Python.
  • Strong practical knowledge in SQL and Python, with an emphasis on creating reusable code.
  • Experience with data manipulation tools and libraries, including Pandas, NumPy, and data integration tools and techniques.
  • Proficient in writing base code that dynamically generates multiple code instances based on a configuration file.
  • Experience working in Azure cloud environment, particularly with data lakes.

Preferred Qualifications

  • Knowledge of Databricks, Spark, or similar frameworks for processing large datasets.
  • Knowledge of Apache Spark, including Spark SQL, DataFrame/Dataset API.
  • Proficiency in setting up and managing Databricks clusters, notebooks, and jobs within the Azure ecosystem.

What We Offer

As a Senior Data Engineer at AsalJobs, you will have the opportunity to work on challenging projects, collaborate with a talented team, and develop your skills in data engineering.



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