Data Engineer

Fractal; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

An innovative technology firm in Karnataka, India is seeking an experienced Data Engineer specializing in Microsoft Azure to join their Technology team. The role involves delivering data engineering solutions for Fortune clients, and requires expertise in software development, system integration, and big data technologies. Ideal candidates will have a bachelor's degree and 6-12 years of relevant experience. Candidates with a knack for architectural discussions around cloud-based solutions will thrive in this dynamic environment.

Qualifications

• 6+ years of experience in technology including application development and data engineering.
• Strong expertise in Microsoft Azure and related components.
• Proven software development experience using object-oriented programming.

Responsibilities

• Integrate and implement scalable data solutions for clients.
• Develop end-to-end execution solutions for large projects.
• Lead technology services in developing analytics capabilities.

Skills

System Integration

Application Development

Data-Warehouse projects

Python

PySpark

SQL

Microsoft Azure

Machine Learning Ops (ML Ops)

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Azure SQL

Azure Databricks

Python

Spark

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. If you are an extraordinary developer who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Data Engineer - Azure, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.

Responsibilities

Experience reqd - 5-10 years

• 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 6‑12 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 flavors 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
• GenAI - added advantage

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

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