(An IBM Company) We are looking for a skilled Azure Data Engineer to architect, deploy, and optimize large-scale data solutions. While the role is based in Bengaluru, remote applications from candidates in the USA are welcome and highly encouraged.

Full Job Content (English, USA-Focused)

Company: Neudesic, an IBM Company
Role: Azure Data Engineer
Employment Type: Full-Time
Experience: 3–8 Years (Flexible for Remote USA Candidates)
Location: Bengaluru (Preference for Remote / USA-based Candidates)

About Neudesic
Neudesic, now part of IBM, is a global leader in enterprise technology solutions. The company is known for its strong expertise in Azure, Databricks, AI, and digital transformation. Neudesic is committed to innovation and powered by a culture that values collaboration, integrity, and excellence.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines using Databricks notebooks, workflows, and DLT.
• Integrate data from multiple sources including Azure Data Lake, SQL databases, APIs, and cloud storage.
• Automate data ingestion, cleansing, transformation, and validation.
• Perform large-scale data processing and distributed computing using Apache Spark on Databricks.
• Optimize Spark jobs and Databricks clusters for high-volume workloads and cost efficiency.
• Collaborate with analysts, data architects, and product owners to deliver data-driven insights.
• Integrate Databricks with Azure Data Lake Storage, ADF, Fabric, and other Azure services.
• Implement data governance and security best practices, including Unity Catalog and access control.
• Build CI/CD pipelines for infrastructure and Databricks workflows using Azure DevOps and Git.

(Information based on general public job descriptions and Databricks expectations) SitePoint

Required Skills & Qualifications

• 3+ years hands-on experience with Databricks and Apache Spark for big data engineering.
• Strong proficiency in Python, SQL, and Scala for ETL and data transformation tasks.
• Experience working with Azure ecosystem: Azure Data Lake Storage, ADF, Synapse, Fabric, Blob Storage, etc.
• Expertise in data modeling, data warehousing, Star/Snowflake schemas, and performance tuning.
• Familiar with CI/CD principles, version control (Git), and automated deployment workflows.
• Excellent communication and ability to work collaboratively across global teams.
  SitePoint

Preferred Qualifications

• Experience with Hadoop, Kafka, HBase, or ML workflows within Databricks (MLFlow).
• Certifications such as Azure Data Engineer Associate or Databricks Certified Developer.
  SitePoint

Estimated Salary (USA-based Applicants)
Based on salary reports for similar roles, Azure Data Engineer positions at Neudesic in the U.S. command a compensation range of approximately ₹1.4M–₹1.8M/year (~USD 17,000–22,000). Note that US salary expectations may be significantly higher depending on experience and location.
Glassdoor+1

Why Apply (Especially from the USA)?

• Work for a high-growth, globally respected company with strong IBM backing.
• Be part of cutting-edge data engineering and AI-driven projects.
• Remote flexibility for U.S.-based professionals.
• Excellent career progression, culture of inclusion, and innovation at scale.

How to Apply
Visit Neudesic’s official careers portal or preferred job platforms (e.g., LinkedIn, company website) and search for “Azure Data Engineer – Neudesic.” Include your updated résumé, relevant project details (Databricks, Azure, Spark), and a brief cover letter emphasizing your fit for remote/USA-based work.

Summary: Key Takeaways for USA/UK Traffic

• Tailored job title includes “USA-Based Applications Welcome” for relevance.
• Use rich Azure, Databricks, Spark, USA remote jobs keywords for SEO.
• Strong call to action for U.S. professionals; encourages global applicants.