Req number R6646 Employment type Full time Worksite flexibility Remote Who we are CAI is a global technology services firm with over 8 500 associates worldwide and a yearly revenue of 1 billion We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities As a privately held company we have the freedom and focus to do what is right whatever it takes Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise Job Summary We are seeking a motivated Data Engineer to join our dynamic team As a Data Engineer you will play a crucial role in building cloud-based data lake and analytics architectures using AWS and Databricks and is proficient in Python programming for data processing and automation This is a Full time and Remote position We are looking for a Data Engineer that has experience in building data products using Databricks and related technologies This position will be Full-time and Remote position What You ll Do Design develop and maintain data lakes and data pipelines on AWS using ETL frameworks and Databricks Integrate and transform large-scale data from multiple heterogeneous sources into a centralized data lake environment Implement and manage Delta Lake architecture using Databricks Delta or Apache Hudi Develop end-to-end data workflows using PySpark Databricks Notebooks and Python scripts for ingestion transformation and enrichment Design and develop data warehouses and data marts for analytical workloads using Snowflake Redshift or similar systems Design and evaluate data models Star Snowflake Flattened for analytical and transactional systems Optimize data storage query performance and cost across the AWS and Databricks ecosystem Build and maintain CI CD pipelines for Databricks notebooks jobs and Python-based data processing scripts Collaborate with data scientists analysts and stakeholders to deliver high-performance reusable data assets Maintain and manage code repositories Git and promote best practices in version control testing and deployment Participate in making major technical and architectural decisions for data engineering initiatives Monitor and troubleshoot Databricks clusters Spark jobs and ETL processes for performance and reliability Coordinate with business and technical teams through all phases of the software development life cycle What You ll Need Required 5 years of experience building and managing Data Lake Architecture on AWS Cloud 3 years of experience with AWS Data services such as S3 Glue Lake Formation EMR Kinesis RDS DMS and Redshift 3 years of experience building Data Warehouses on Snowflake Redshift HANA Teradata or Exasol 3 years of hands-on experience working with Apache Spark or PySpark on Databricks 3 years of experience implementing Delta Lakes using Databricks Delta or Apache Hudi 3 years of experience in ETL development using Databricks AWS Glue or other modern frameworks Proficiency in Python for data engineering automation and API integrations Experience in Databricks Jobs Workflows and Cluster Management Experience with CI CD pipelines and Infrastructure as Code IaC tools like Terraform or CloudFormation is a plus Bachelor s degree in computer science Information Technology Data Science or related field Physical Demands This role involves mostly sedentary work with occasional movement around the office to attend meetings etc Ability to perform repetitive tasks on a computer using a mouse keyboard and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to application accommodations cai io or (phone hidden)

📌 Data Engineer (India)
🏢 CAI (Computer Aid
📍 India