OnPoint Insights Hiring Drive 2024 For Azure Data Engineer | Location Borivali

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OnPoint Insights Hiring Drive 2024: OnPoint Insights Hiring Drive 2024 for its Azure Data Engineer. OnPoint Insights Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree. if you are interested, please apply as soon as possible.

Company Name: OnPoint Insights

Role: Azure Data Engineer

Location: Borivali

Experience: 1 year

Qualification: Bachelor s degree

Batch: Any

Job Type: Full Time

Salary: Best in Industry

OnPoint Insights Hiring Drive 2024

Job Description:

  • Design, develop, and implement new data solutions on Azure/AWS to consume and deliver data solutions.
  • Maintain and support existing applications on Azure/AWS platforms.
  • Actively participate in daily team meetings and sprints.
  • Demonstrate proficiency in understanding data architecture design using Azure data engineering capabilities.
  • Client-facing role, requiring strong communication and presentation skills.


  • Minimum of 1 year of experience in data transformations and ETL using Azure/AWS technologies.
  • Experience with CI/CD deployments (DataOps).
  • Knowledge of building real-time and batch data processing pipelines using Apache Spark, Azure Data Factory, Azure Databricks and Synapse will be beneficial.
  • Knowledge of Delta Lake for managing data lakes with reliability and performance. Familiarity with Databricks notebooks for collaborative development
  • Knowledge of security best practices for data handling and processing within Azure Databricks environment. Knowledge of security best practices for data handling and processing within Azure Databricks environment.
  • Excellent knowledge of relational and non-relational database modelling.
  • Proficiency in manipulating and combining large datasets from multiple sources.
  • Strong expertise in Python scripting.
  • Experience with SQL databases, such as MySQL and SQL Server.
  • Familiarity with SQL NoSQL databases, like MongoDB and CosmosDB.
  • Background in building ETL/Data Warehouse transformation processes.
  • Proficiency in writing complex SQL queries and creating data models.
  • Understanding of the software development lifecycle.
  • Excellent analytical and problem-solving skills.
  • Ability to work both independently as a self-starter and within a team environment.
  • Strong communication skills to effectively collaborate with delivery teams and business-facing teams, understand sometimes ambiguous needs, and translate them into clear, aligned requirements.
  • Client-facing role, requiring strong communication and presentation skills.
  • Knowledge of PySpark.
  • Experience with medium to large projects.
  • Familiarity with agile work practices.
  • Passion for achieving goals and delivering results.
  • Machine Learning and Recommendation Systems model building knowledge.

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