Azure with AI ML

BriskWinIT; Ahmedabad District; Presencial; INR 3.000.000 - 4.500.000; Jornada completa

Descripción de la vacante

BriskWin IT Solutions Pvt Ltd seeks a senior data engineer to shape modern data pipelines and analytics platforms in a multi-city Indian delivery model.

You will own data lake engineering, warehouse design, and AI-driven automation while collaborating with stakeholders to deliver scalable data and BI solutions across business domains.

Formación

• Experience: 9–12 years in data engineering.
• Location: India with offices across major cities including Pune/ Mumbai/ Chennai/ Bengaluru/ Ahmedabad.
• Translate business requirements into analytics solutions for stakeholders.
• Hands-on with Azure Data Lake, Synapse, Databricks, SQL DW, Python and Spark.
• Experience in release management, environment controls and CI/CD pipelines.
• Deploy data/AI solutions using container apps (Docker/Kubernetes).
• Apply AI/ML techniques to automate data engineering tasks.

Responsabilidades

• Hands-on work with Azure Data Lake, Synapse and Databricks for data ingestions and modelling.
• Develop SQL-based data warehousing solutions and optimise complex queries.
• Build data pipelines and automation using Python and Spark.
• Design Microsoft BI solutions spanning database design to reporting.
• Collaborate with stakeholders to convert requirements into analytics deliverables.
• Manage releases, CI/CD, and environment controls in production data platforms.
• Investigate emerging data engineering technologies and trends.

Conocimientos

Azure Data Lake

Azure Synapse Analytics

Databricks

SQL/Data Warehousing

CI/CD pipelines

Python

Spark

BI development

Data modelling

Stakeholder communication

Herramientas

Docker

Kubernetes

Azure Container Apps

Descripción del empleo

Exp: 9 years – 12 years

Location: Pune/Mumbai/Chennai/Bangalore/Hyderabad/Noida/Coimbatore/Dehradun/Ahmedabad

Np: Immediate Joiner only

Job Description:

• Extensive hands-on experience with Azure Data Lake (including Blob Storage and Delta), Azure Synapse Analytics, and Databricks.
• Proven expertise in SQL/Azure SQL data warehousing and advanced query optimisation.
• Strong background in data engineering practices, including release management, environment controls, and CI/CD pipeline orchestration.
• Proficiency in Python and Spark for data processing and automation.
• Demonstrated ability in Microsoft BI development, covering database design, reporting solutions, and full development lifecycle.
• Advanced skills in data modelling, problem-solving, and information analysis, with exceptional attention to detail and adaptability.
• Ability to translate business requirements into effective data and analytics solutions, working directly with stakeholders.
• Proven capability to manage tight deadlines and deliver high-quality solutions under pressure.
• Strong interest in emerging data engineering technologies, best practices, and industry trends.
• Experience with container apps (e.g., Azure Container Apps, Docker, or Kubernetes) for deploying and managing scalable data and AI solutions.
• Proven expertise in applying AI and machine learning techniques to data engineering challenges, with a track record of delivering automation and innovation through AI-driven solutions.