Azure Data Engineer|Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

1. 4+ years of working with Spark, Python

2. 4+ years of working with SQL, handling complex windowing functions and joins
3. 2+ years of deployment and maintenance of data pipelines on cloud clusters (AWS/Azure)
4. Unit Testing expertise (Experience with Pytest preferred but, manual is also okay)
5. Good knowledge of version control systems (Git/Bitbucket)

Good to have:
1. Exposure to Airflow/Astronomer

2. Experience deploying Spark data pipelines on Databricks clusters
3. Working knowledge of Jira and Confluence
4. Flair for automation

Mandatory skill sets-Minimum 3yrs with Pyspark experience, 1yr of azure data bricks experience, hands on experience with small, large & complex data sets     
Preferred skill sets- Minimum 3yrs with Pyspark experience, 1yr of azure data bricks experience, hands on experience with small, large & complex data sets    
Year of experience required-   4 to 7 years  
Qualifications- Graduate Engineer or Management Graduate

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure Databricks, PySpark

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date