Senior Data Engineer Job in Blend360 India

Senior Data Engineer Hyderabad (On-site, Full-time)

Location: Hyderabad, Telangana

Work Type: On-site, Full-time

Experience: 5+ Years

Industry: AI & Data Science

Company: Blend

About Blend:

Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people.

Job Overview:

We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization.

Key Responsibilities:

• Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows.
• Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data.
• Implement distributed data processing using Apache Spark or PySpark.
• Create and maintain data lakes in AWS Databricks.
• Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets.
• Ensure adherence to data governance, quality, and security best practices.
• Monitor, troubleshoot, and optimize the performance of data systems.
• Conduct code reviews and enforce engineering best practices.
• Mentor junior engineers and support their technical growth.

Required Qualifications:

• Bachelor's or Master s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments.
• Strong programming skills in Python for data processing and workflow automation.
• Advanced expertise in SQL for data transformation and querying large datasets.
• Proficient in distributed data processing using Apache Spark/PySpark.
• Solid understanding of data modeling, data warehousing, and performance optimization techniques.
• Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR.
• Familiarity with version control tools like Git or CodeCommit.
• Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory).

Why Join Blend?

• Be part of a forward-thinking, AI-driven organization.
• Work with cutting-edge cloud technologies and data platforms.
• Thrive in a culture of innovation, mentorship, and continuous learning.
• Enjoy opportunities to grow technically and professionally while driving real-world impact.

Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making.