Data Engineer - Snowflake, Data Modeling/Pipelines, Orchestration, Exp: 4-8 Yrs

Cisco — Bangalore, India

Meet the Team Join a dynamic and impactful team responsible for the critical sales applications (My Business Reports (MBR), Intelligence center, One Sales BO (OSBO), and Visibility) that drive Cisco's success. This team is at the forefront of leveraging data to provide unparalleled insights into sales performance, operational efficiency, and market visibility through AI-led data management and analysis. You will collaborate with dedicated professionals who are passionate about transforming data into actionable intelligence. Your Impact • Build Data Pipelines to ingest data into Snowflake and lead data access on snowflake • Define and advocate standard processes for AI-led data storage and analysis within Snowflake. • Review the Data Modeling practices • Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs • Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements. • Support other allied architecture and integration activities. Assist in developing documentation around system integration, data flows, data dictionary, user guides and standard processes. • Experience using tech solutions like Git, Gradle, Airflow, and Kubernetes to craft & deploy apps and jobs on cloud-hosted services Minimum Qualifications • Bachelors degree or equivalent 4-8 years related experience • Experience using Python and SQL • Experience with Building Data Pipelines in Python • Experience with any Cloud Data Warehouse either as an Administrator or a Developer Preferred Qualifications • Proficiency in data modeling, data design, SQL, and NoSQL databases • Proven background in algorithms and data structures • Experience working with PII and GDPR data • Proven communication and partnership contribute to multi-functional teams. Who You'll Work With You will be an integral part of the My Business Reports (MBR), Visibility and OSBO team, working alongside a group of passionate and highly skilled p

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