Data Architecture & Pipeline Development
Design and implement ETL/ELT pipelines using AWS services like Glue, Redshift, S3, Lambda, and EMR.
Ensure data quality, security, and governance.
Team Leadership
Lead and mentor a team of Data Engineers.
Conduct code reviews, knowledge sharing sessions, and enforce best practices.
Performance & Optimization
Optimize queries, data storage, and pipeline performance.
Monitor and troubleshoot AWS data services to maintain efficiency.
Collaboration
Work closely with Data Scientists, Business Analysts, and Product Teams to understand data requirements.
Collaborate on data modeling and BI/analytics strategies.
Security & Compliance
Implement AWS security best practices.
Ensure compliance with data privacy laws and organizational policies.
Career Growth: Clear pathway to Data Architect, Head of Data, or CTO roles.
Skill Development: Hands-on experience with AWS cloud services, ETL pipelines, Big Data tools, and data warehousing.
Certifications: Companies often sponsor AWS, Big Data, or cloud certifications.
Leadership Experience: Mentoring junior engineers and leading projects strengthens managerial skills.
Medical Insurance: Coverage for self and dependents, including hospitalization.
Life & Accidental Insurance: Financial protection in case of emergencies.
Wellness Programs: Gym reimbursements, yoga sessions, or mental health support programs.