Azure Data Engineer (Databricks) || 4+ yrs || RR/1294/2024

Bangalore, India

Emids

Committed to bettering healthcare and empowering wellness, we focus on what matters. Using technology and insights to create transformative outcomes for patients, providers and partners.

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Role : Azure Data Engineer 

Exp : 4-7 yrs

Loc : Bangalore / Noida

Job Description :

Data Engineering with Databricks:

  • Design, implement, and optimize data pipelines in Databricks to process large-scale structured and unstructured data.
  • Develop ETL workflows for data ingestion, transformation, and integration using Databricks and other cloud-based tools.
  • Implement Delta Lake for efficient data management and real-time data processing.
  • Collaborate with data architects and stakeholders to build scalable and reusable data solutions.
  • Leverage Databricks' MLflow for managing and deploying machine learning workflows, if required.
  • Ensure data quality, integrity, and compliance with organizational standards and governance policies.

Required Skills & Qualifications:

  • Education: Bachelor’s or master’s degree in computer science, Data Analytics, Information Technology, or a related field.
  • Technical Proficiency:
    • Hands-on experience with Databricks: Spark, Pyspark, Scala, or SQL.
    • Strong understanding of database concepts and working experience with SQL/NoSQL databases.
    • Experience integrating Databricks and Power BI with cloud platforms like Azure or AWS.
  • Analytical Skills: Strong ability to analyse, interpret, and visualize large datasets.
  • Problem Solving: Demonstrated ability to troubleshoot complex data workflows and reporting challenges.

Soft Skills: Strong written and verbal communication, collaboration, and stakeholder management

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Azure Computer Science Data Analytics Databricks Data management Data pipelines Data quality Engineering ETL Machine Learning MLFlow NoSQL Pipelines Power BI PySpark Scala Spark SQL Unstructured data

Region: Asia/Pacific
Country: India

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