Data Engineer

Altera Corporation; India; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Altera seeks a Senior Data Engineer to join its Data & Analytics team in Bengaluru, India. You will design and develop modern data platforms, building scalable pipelines using Databricks, Azure Data Factory, and Microsoft Fabric to enable real-time data operations.

The role emphasizes ETL/ELT, data lakehouse and warehouse architectures, strong SQL, CI/CD and IaC practices, and collaboration with analysts, data scientists and engineers to ensure data quality and governance.

Qualifications

• Bachelor’s or master’s degree in computer science, information systems, engineering, or a related field.
• 4–8 years of experience in data engineering with strong knowledge of cloud data platforms.
• Proficiency in PySpark, Azure Data Factory, Databricks and SQL.
• Experience with Microsoft Fabric or similar unified analytics platforms.
• Solid understanding of data lakehouse and data warehouse architectures.
• Solid understanding of data modeling concepts.
• Experience with Delta Lake, Synapse Analytics, and other Azure analytics services.
• Familiarity with CI/CD pipelines, version control (e.g., Git), and deployment automation tools (e.g., Azure DevOps, GitHub Actions).
• Strong problem-solving skills and ability to work across technical and business teams.
• Nice to have Power BI and semantic model development experience.

Responsibilities

• Design, build, and optimize scalable data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric.
• Develop ETL/ELT workflows using PySpark, SQL, and data orchestration frameworks.
• Architect and implement data Lakehouse and data warehouse solutions on Databricks/Microsoft Fabric.
• Collaborate with data scientists and analysts to ensure efficient data delivery and model readiness.
• Leverage CI/CD practices and infrastructure-as-code (IaC) to deploy and maintain data pipelines in production.
• Monitor and troubleshoot data pipelines, ensuring performance, reliability, and data quality.
• Enforce data governance, security, and compliance best practices across platforms.

Skills

Databricks

PySpark

SQL

Data Modeling

CI/CD

IaC

Azure Data Factory

Microsoft Fabric

Synapse Analytics

Delta Lake

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

Databricks

Azure Data Factory

Microsoft Fabric

Synapse Analytics

Delta Lake

Job description

We are looking for a highly skilled Senior Data Engineer to join our Data & Analytics team and help the design and development of modern data platforms. This role focuses on building scalable, high-performance data solutions using tools such as Databricks, Microsoft Fabric, Azure Data Factory and PySpark. The ideal candidate will be passionate about data warehousing, data engineering, data architecture, automation, and DevOps practices, and will work closely with Business analysts, engineering team, Data Scientists to enable robust, real-time, and secure data operations. Expert in data engineering, ETL/ELT, and modern data platforms such as (Databricks, MS Fabric, Synapse etc.)

Design, build, and optimize scalable data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric. Develop ETL/ELT workflows using PySpark, SQL, and data orchestration frameworks. Architect and implement data Lakehouse and data warehouse solutions on Databricks/Microsoft Fabric. The role requires a strong understanding of Data Warehousing, Data Modeling, data engineering principles, cloud computing, and the Microsoft Fabric platform. Strong in SQL development, including writing complex queries and stored procedures. Collaborate with data scientists and analysts to ensure efficient data delivery and model readiness. Leverage CI/CD practices and infrastructure-as-code (IaC) to deploy and maintain data pipelines in production. Monitor and troubleshoot data pipelines, ensuring performance, reliability, and data quality. Enforce data governance, security, and compliance best practices across platforms.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.
• 4-8 years of experience in data engineering with strong knowledge of cloud data platforms.
• Proficiency in PySpark, Azure Data Factory, Databricks and SQL.
• Experience working with Microsoft Fabric or similar unified analytics platforms.
• Solid understanding of data lakehouse and data warehouse architectures.
• Solid understanding of Data modeling concepts.
• Experience with Delta Lake, Synapse Analytics, and other Azure analytics services.
• Familiarity with CI/CD pipelines, version control (e.g., Git), and deployment automation tools (e.g., Azure DevOps, GitHub Actions).
• Strong problem-solving skills and ability to work across technical and business teams.
• Good to have power bi and semantic model development experience.

Job Type: Regular

Shift: Shift 1 (India)

Primary Location: Bengaluru, Karnataka, India

Additional Locations: Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

About Altera Altera

Accelerating Innovators Altera provides leadership programmable solutions that are easy-to-use and deploy in applications from cloud to edge, offering limitless AI possibilities. Our end-to-end broad portfolio of products including FPGAs, CPLDs, Intellectual Property, development tools, System on Modules, SmartNICs and IPUs provide the flexibility to accelerate innovation. Altera is helping to shape the future through pioneering innovation that unlocks extraordinary possibilities for everyone on the planet.