Azure Data Engineer

4 weeks ago

Greater Bengaluru Area, India Quantzig Full time

Company : Quantzig Analytics

Location : Kadubeesanahalli, Bangalore.

Experience : 6+ years minimum is required

Notice : preferably 0 to 30days


Job Description:

Seeking a self-driven professional with a strong ownership mentality and the ability to work independently without constant guidance. The ideal candidate will have an agile mindset, capable of swiftly responding to requests such as data modelling or data acquisition, demonstrating a proactive approach in problem-solving.


  • Design and develop Data Processing by using various ETL tools for data ingesting, cleansing, transforming and job orchestration in azure cloud environment
  • Design and implement Data Security by role- based access control as well as masking and encrypting sensitive data
  • Monitor and optimize Data Storage and Data Processing using Monitoring Tools as well by implementing archive concept and query tuning
  • Very good hands-on experience working with Synapse Pipelines (ADF knowledge is also good), Spark Pools, Synapse SQL pools and SQL Managed Instance
  • At least 4 to 6 years of relevant experience in data engineering team with 3-5 years hands-on experience in Azure cloud technologies
  • Deep understanding of cloud technologies and delivery high-quality large size projects on time
  • Very good knowledge in Azure Synapse Data Pipelines (ADF knowledge is also good)
  • Deep knowledge in PySpark, Spark SQL, T SQL
  • Good to have knowledge in Azure functions App (coded in Python)



Soft Skills:


• Strong leadership and mentoring skills, with the ability to guide and develop a team of junior data engineers

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including data scientists, business analysts, and stakeholders

• Problem-solving and analytical mindset, with the ability to identify and resolve complex data challenges

• Ability to manage multiple projects simultaneously and prioritize tasks based on business impact

• Proactive and self-motivated, with a desire to continuously learn and stay up-to-date with the latest trends and technologies in data engineering

• Attention to detail and a commitment to delivering high-quality work



In case of any queries, Kindly connect with me at

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