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Cisco Meraki

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3.6

based on 18 Reviews

15 Cisco Meraki Jobs

Senior Data Engineer

Cisco Meraki

3.6

based on 18 Reviews

6-8 years

Bangalore / Bengaluru

1 vacancy

Senior Data Engineer

Cisco Meraki

posted 9d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Cisco Agile Coaching Business Strategy Scrum

+ 2 more

Job Description

As the leader in cloud-managed IT, Cisco Meraki connects passionate people to their mission by simplifying the digital workplace. Our impact is driven by the innovative, purposeful, and vibrant people who make up our inclusive community. When technology is intuitive, our customers can focus on what matters. Our employees fuel the magic of the Meraki community. They have fostered an environment that empowers Merakians to challenge limits, embrace risks, and assist our customers in pursuing their missions. Our guiding principles are rooted in our four core values: care deeply, everybody in, simplify everything, and be brave. These pillars have propelled us to the forefront of cloud-managed IT leadership and have played a pivotal role in shaping a more inclusive future for all.

About the role

The Data Science Infrastructure team is a growing group that works closely with executives and leaders across the company to support the development and alignment on our business strategy. We are looking for a Senior Data Engineer to develop cross-functional relationships and work closely with engineering, product and other cross-functional teams to drive near and long term initiatives to improve our product and customer experience. This would be an outstanding fit for a solution-oriented technical pro who is hands-on, has the ability to work autonomously, and can drive technical efforts building robust and resilient auto-scaling data solutions. In near real time, Cisco Meraki collects massive amounts of data from its devices all over the world. We collect nearly 6 million data points each second (~50B events per day). In this role, you will a nalyze raw data, develop and maintain datasets, and improve data quality and efficiency . You will also help scale our systems to handle ever increasing amounts of data points and requests.

What Will You Do

Work closely with Engineering, Product, and other cross-functional teams at Meraki to understand data needs and develop services that transform raw data from various sources into valuable insights.
Oversee Merakis workflow service while designing, building, and maintaining scalable ETL/ELT pipelines to process large-scale structured and unstructured data.
Manage Merakis data warehouse platform, ensuring usability, scalability, reliability, and performance.
Establish Data privacy and governance by classifying data, managing PII, and ensuring compliance with regulatory requirements and organizational policies.
Drive projects independently by taking ownership, ensuring accountability, and collaborating with cross-functional stakeholders to deliver successful outcomes.

What Skills You Posses

BS or MS in Computer Science / related technical field or equivalent combination of graduate degree and work experience.
6 + years of experience in Python writing professional production level code and tests.
Strong proficiency in SQL with experience in designing and building ETL pipelines to onboard data to data warehouses such as Snowflake.
Skilled in managing large-scale data operations and optimizing performance for efficiency and scalability.
Proven track record in implementing data privacy and governance practices, including data classification, PII handling, and applying compliance policies for retention, masking, deletion, and anonymization.
Strong written and verbal communication skills and excellent attention to detail and accuracy.

Bonus Points For:

Experience with AWS or other cloud environments.
Experience with real-time data streaming tools (e.g., Kafka, Kinesis).
Expertise in workflow orchestration tools (e.g., Airflow).
Experience implementing Data Quality and working with Data Quality tools (e.g. Monte Carlo).
Experience working with Data Catalog tools (e.g. Alation).
Experience with reporting tools such a s Tableau.
Experience working in an agile environment (Scrum, Kanban, etc.).