Responsible for designing developing and maintaining productive data pipelines and integrations across multicloud environments to ensure reliable scalable and costeffective data delivery for analytics and business operations
Key Responsibilities
Proficiency in Python and SQL
Familiarity with data warehousing concepts star schemas dimensional modeling OLTP vs OLAP
Design build and maintain ETLELT pipelines that move and transform data across hybrid environments AWS GCP Oracle Cloud
Establish data quality checks validation logic and data reconciliation processes
Optimize pipeline runtime compute usage storage tiering and query costs especially in BigQuery
create and maintain documentation for the data pipelines built using Airflow
Working knowledge of Git CICD and modern DevOps practices
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise.
Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert