Job Title : Data Engineer – AWS Cloud & AI / ML
Location : Bengaluru | Pune | Mysuru | Kochi
Experience : 5–8 Years
About the Role
We are seeking an experienced Data Engineer with strong expertise in AWS Cloud and AI / ML technologies to join our team. The ideal candidate will have hands-on experience in data engineering, analytics, and cloud-based solutions, along with a strong understanding of machine learning implementations on real-world datasets.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL / ELT frameworks .
- Manage data migration and integration using AWS DMS, SCT , and other tools.
- Work extensively with AWS data services such as S3, Glue, DMS, Redshift, RDS, Aurora .
- Develop and optimize data models for analytics and reporting.
- Implement AI / ML models for predictive insights and automation.
- Collaborate with cross-functional teams for data strategy, architecture, and governance.
- Use Power BI, SSIS, SSRS, Athena, QuickSight , and similar BI tools for visualization and reporting.
- Ensure data security, quality, and compliance across systems.
Required Qualifications & Skills
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field .5–8 years of experience in Data Engineering, Data Analytics, or Data Warehousing .Minimum 2+ years of hands-on experience with AWS Cloud Data Services .Strong programming skills in SQL, Python, PowerShell, and PySpark .Proficiency in ETL processes , data transformation , and data orchestration tools .Experience in AI / ML implementation (minimum 1 year).AWS Associate or Specialty Certification (minimum two) – mandatory.Excellent problem-solving , analytical , and communication skills.Preferred Qualifications
Experience with AI / ML, DataOps , and automation frameworks .Familiarity with MySQL, PostgreSQL , and other open-source databases.Domain exposure in Manufacturing, Aerospace, or Airline sectors.Knowledge of ITIL methodologies , networking fundamentals , and basic IT infrastructure .