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Samsara

Compare

3.2

based on 4 Reviews

30 Samsara Jobs

Manager, Business Technology Data Engineering

Samsara

3.2

based on 4 Reviews

10-12 years

Bangalore / Bengaluru

1 vacancy

Manager, Business Technology Data Engineering

Samsara

posted 1mon ago

Job Role Insights

Key skills for the job

Medical Coding Computer Science Supply Chain Management SQL Automation Testing Clinical Data Management

+ 4 more

Job Description

You should apply if:

You want to impact the industries that run our world: Your efforts will result in real-world impact helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
You are the architect of your own career: If you put in the work, this role won t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
You re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role, you will:

Lead the data engineering team by driving the design, build, test, and launching of new data pipelines, data models, and predictive models on our production data platform
Lead a team of data engineers and guide them with the best data strategies in line with data needs
Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
Continuously look for data optimization processes and oversee data management, governance, security, and analysis
Hire the best talents, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
Manage data delivery through high-performing dashboards, visualizations, and reports
Ensure data quality and security across every product vertical and related areas
Design, create and launch new data models and pipelines as per needs
Act as a project manager for data projects, mentor and grow the team by hiring skilled data engineers
Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system
Mentor and grow data warehouse, data modeling, and data visualization team to correctly establish a data-driven culture
Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products
Ensure test-driven products/pipelines that are easily maintainable and reusable
Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
Overall build and maintain data foundations that include tools, infrastructure, and pipelines that help the marketing and sales team
Increase automation and build analytic solutions at scale to serve the business requirements

Minimum requirements for the role:

Minimum 10+ years of experience in managing, designing, and maintaining large scale data solutions
Bachelor degree in Computer Science, Math, Statistics, Information Systems, Informatics, Analytics, or another quantitative field
Hands-on experience analyzing, architecting/re-architecting data and analytics platforms on Azure/AWS/GCP
Must have experience designing and architecting data lakes on cloud platforms and BI application integrations.
Knowledge of data security best practices and experience building secure data solutions
Advanced working SQL knowledge and experience working with a variety of relational databases, query languages, query authoring, and related tools
Hands-on experience in building data pipelines, platforms, architecture, structures, visualizations, and data modeling
Optimize data models and conduct performance engineering for large scale data
Knowledge of data visualizations and self-service data preparation tools to maintain the flow of data for the analytics and visualization teams
Working knowledge of full software development life cycle that includes planning, coding standards, testing methods, build process, and source control management
Experience offering technical leadership and guiding teams for data engineering best practices
Experience working in a large-scale, high-scale data warehouse environment with ETL tools and processes
Strong knowledge of AWS tools and technologies