Azure Data Engineer

Hiring Now | Azure Data Engineer (0–2 Years Experience) | Freshers & Experienced Candidates Welcome, Kickstart your career in Azure Data Engineer with us!

Job Title: Azure Data Engineer (0–2 Years Experience) Shift: 07:30 AM – 03:30 PM IST Work Mode: Remote Location: Open to candidates across India

Company Description thinkMind Tech is a global technology solutions provider specializing in delivering end-to-end software development services across industries. Leveraging deep engineering expertise and AI-driven, cloud-native architectures, the company builds scalable and secure digital platforms that enable business growth. With capabilities encompassing web, mobile, cloud, enterprise, SaaS, and product engineering, thinkMind Tech integrates cutting-edge technologies for intelligent automation and data-driven ecosystems. Known for combining the agility of a startup with the reliability of an established partner, thinkMind Tech employs modern technologies and advanced methodologies, such as Generative AI accelerators, DevOps, and real-time data ecosystems, to drive innovation and deliver sustainable software solutions.

About the Role We are looking for a highly skilled Azure Data Engineer with deep expertise in the Microsoft Azure cloud ecosystem to design, build, and maintain scalable, secure, and high-performance data solutions. This is a full-time remote position focused on developing enterprise-grade ETL/ELT pipelines, data warehousing solutions, and advanced analytics platforms. The ideal candidate will have strong hands-on experience with Azure Data Factory, Azure Databricks, Snowflake, and DBT, along with solid programming expertise in Python, PySpark, and SQL.

Role Description As an Azure Data Engineer, you will:

- Design, build, and maintain scalable data solutions on the Microsoft Azure cloud platform - Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) - Build data transformation workflows using Azure Databricks (PySpark) and DBT - Perform data modeling and implement scalable data architectures - Manage and optimize data warehousing solutions using Snowflake - Support data analytics initiatives by ensuring high-quality, accessible, and reliable datasets - Write efficient and optimized SQL queries for complex transformations - Ingest and integrate data from multiple structured and unstructured sources - Monitor, troubleshoot, and optimize pipelines for performance and reliability - Maintain data quality, governance, security, and documentation standards - Collaborate with analysts, architects, DevOps teams, and stakeholders in a remote environment

Must-Have Skills

- Strong experience with Azure Cloud Platform services - Proven expertise in Azure Data Factory (ADF) - Hands-on experience with Azure Databricks - Proficiency in SQL - Experience with Snowflake and SnowSQL - Practical knowledge of DBT (Data Build Tool) - Experience handling large-scale datasets in cloud-based environments - Experience in ingesting data from multiple structured and unstructured data sources

Good-to-Have Skills

- Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions - Knowledge of Python / PySpark for data transformation - Understanding of CI/CD pipelines and DevOps practices - Exposure to data governance, metadata management, or data catalog tools - Familiarity with BI tools such as Power BI or Tableau - Data warehousing experience

Qualifications

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field - 0-2+ years of experience in data engineering using Azure and Snowflake - Strong analytical thinking and problem-solving skills - Ability to work effectively in remote, cross-functional teams - Azure Data Engineering certifications are a plus

Why Join thinkMind?

- Work in a cutting-edge, cloud-first environment focused on Azure-based data solutions. - Design and build enterprise-scale data platforms that power real business decisions. - Gain hands-on experience with modern technologies like Azure Data Factory, Databricks, Snowflake, and DBT. - Collaborate with experienced data architects, analysts, and DevOps teams in a fully remote setup. - Accelerate your career growth with exposure to large-scale cloud data engineering projects.