Data Engineer

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title: AWS Databrick

Key Skills:

Job Locations:

Experience:

Budget:

Education Qualification: Any Graduation

Senior Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable

  data pipelines

  using

  Databricks and Apache Spark

  on

  AWS

• Build and optimize

  cloud-based data and AI solutions

  leveraging AWS services
• Implement robust data processing workflows for analytics and machine learning use cases
• Collaborate with cross-functional teams in

  Agile data development projects

• Apply best practices in

  data engineering, testing methodologies, and code quality

• Ensure solutions meet

  quality, compliance, and governance standards

• Contribute to documentation, design reviews, and knowledge sharing
• Communicate effectively with technical and non-technical stakeholders

Required Qualifications:

• Bachelor’s degree (or equivalent) in

  Computer Engineering, Computer Science

  , or a related field

• Minimum 5 years

  of experience in a

  data/software engineering role

• At least 3 years

  of strong, hands-on experience with

  Databricks on AWS

  , including:
• Spark-based data processing
• Data pipelines
• Analytics and machine learning tools within Databricks

• Minimum 2 years

  of experience building

  AWS cloud-based data pipelines and AI solutions

• Minimum 2 years

  of hands-on experience with

  Python and PySpark

• Strong understanding of

  Agile delivery models

  for data projects
• Excellent

  written and verbal communication skills

Technical Skills:

• Databricks (on AWS)
• Apache Spark (PySpark)
• Python
• AWS data services
• Data pipeline design and optimization
• Testing and validation methodologies for data engineering

Nice-to-Have Skills:

• Databricks Certification

• Experience working within a

  DevOps delivery model

• Experience in

  quality- and compliance-driven environments

  , including adherence to policies, procedures, and guidelines
• Industry experience working with

  large, complex data environments

• Consultancy or vendor-side experience

akhila.vadla@people-prime.com