Remote Senior data analytics engineer Jobs – 91 Open Jobs Today

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Director - Data Platform Engineer - - Remote

Flipkoins
Remote

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Job details

Permanent | Full-time

Benefits

Paid holidays
Paid time off

Qualifications

BCS
Doctoral degree
Computer Science
Spark
Test automation
Master's degree
SQL
Bachelor's degree
Scala
Scripting
Data analytics
Apache
Data warehouse
Analytics

Full job description

Experience :- Minimum 8+ years
Job Type - Full-Time, Permanent
Job Location - Remote
Shift timing - Day Shift (Hiring for US Product based company)

Experience Required:

Bachelor’s degree in computer science or related technical field. Masters or PhD a plus.
8+ years experience engineering software and data platforms / enterprise-scale data warehouses, preferably with knowledge of open source Apache stack (especially Apache Spark, Apache Arrow, and others)
3+ years experience leading/growing high-performance software eng teams
A track record of recruiting and leading technical teams in a demanding talent market
Rock solid engineering fundamentals; query planning, optimizing and distributed data warehouse systems experience is preferred but not required
Knowledge of blockchain indexing, web3 compute paradigms, consensus mechanisms, etc
Experience with rapid development cycles in a web-based environment
Strong scripting and test automation knowledge
Passionate about Web3, blockchain, decentralization, and a base understanding of how data/analytics plays into this
Ability to engage senior business leaders and translate between the needs of the business and the demands of / capacities of technology

Mandatory Key Skills:

Must: open source Apache stack(Apache Spark, Apache Arrow)
Must:Working knowledge in Scala
Must:Working knowledge in Blockchain
Must: Query Engine and Data Warehouse Experience
Preferred: Block Chain Indexing
Basic knowledge in Data Analytics

Responsibilities:

Grow the team by recruiting, interviewing, and hiring new team members
Leading architecture development, execution and leaning into cloud – public, private and hybrid environments
Develop a vision and strategy for the product portfolio and management execution with regards to data acquisition, engineering, and governance, database tuning, automated database management, sharding, etc
Building tools, platforms and database integrations to turn a low-level backend data platform into a user-facing hosted cloud solution
Scaling up from to “cluster scale” (and eventually tens or even hundreds of clusters) problems, in terms of both infrastructure/architecture and problem structure
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate meta data capturing and management
Managing a team of software engineers writing new code to build a bigger, better, faster, more optimized HTAP database (using Apache Spark, Apache Arrow and a wealth of other open source data tools)
Interacting with exec team and senior engineering leadership to define, prioritize, and ensure smooth deployments with other operational components
Highly engaged with industry trends within analytics domain from a data acquisition processing, engineering, management perspective
Understand how data and analytics use cases across Web3 and major blockchains can be optimized through cluster-compute of SQL at extreme scale, on a global decentralized p2p network
Develop the future leaders of Space and Time by providing continuous mentorship, coaching, and growth opportunities.
Foster a culture of creativity and innovation while also promoting practical decision-making
This Job comprises of 60% managerial role and 40% technical role.

What we offer

Aggressive bonus structure AND tokens (similar to stock options)
Very Flexible PTO and paid holidays, and flexible workweek
Very flexible remote work options

A massive list of perks including add-on bonuses for hard work, attending exciting events/conferences/parties, we’re headquartered on the beach near LA (but don’t mind you working remote) and we’ll fly you to our company offsites.

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