Azure Data Engineer

Fractal; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Fractal in Bengaluru, a leader in analytics, is seeking a senior data engineer to own end-to-end cloud-based data solutions. You will work with large-scale client engagements and build end-to-end data pipelines using Python, PySpark and Azure services.

The role covers design, development and deployment across SDLC, with emphasis on Azure Data Factory, Data Lake, Databricks and ML Ops to enable analytics at scale.

Qualifications

• Bachelor’s degree in Computer Science or related field with 6-10 years of technology experience.
• Experience in System Integration, Application Development or Data-Warehouse projects across enterprise technologies.
• Proficiency in Python, PySpark, SQL and cloud-based data platforms (Azure).
• Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service know-how.

Responsibilities

• Be an integral part of large scale client business development and delivery engagements.
• Develop the software and systems needed for end-to-end execution on large projects.
• Work across all phases of SDLC and use software engineering principles to build scaled solutions.
• Build the knowledge base required to deliver increasingly complex technology projects.
• Team handling, problem solving, project management and communication skills.

Skills

Python

PySpark

SQL

Azure Data Factory

Azure Data Lake

Azure SQL

Azure Databricks

HD Insights

ML Ops

Big Data

Data Warehousing

SDLC

Azure

Education

B.E./B.Tech./M.Tech in CS or related

Job description

Job Description:

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Responsibilities

• Be an integral part of large scale client business development and delivery engagements
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• Team handling, problem solving, project management and communication skills & creative thinking

Qualifications

• A bachelor’s degree in Computer Science or related field with 6-10 years of technology experience
• Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space
• Software development experience using: Object-oriented languages (e.g. Python, PySpark,) and frameworks
• Database programming using any flavours of SQL
• Expertise in relational and dimensional modelling, including big data technologies
• Exposure across all the SDLC process, including testing and deployment
• Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.
• Good knowledge of Python and Spark are required
• Good understanding of how to enable analytics using cloud technology and ML Ops
• Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus
• Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)
• Characteristics of a forward thinker and self-starter
• Ability to work with a global team of consulting professionals across multiple projects
• Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems
• Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success.

Education

• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!