This job post is closed and the position is probably filled. Please do not apply. Work for Xapo and want to re-open this job? Use the edit link in the email when you posted the job!
๐ค Closed by robot after apply link errored w/ code 404 2 years ago
\nBALANCE FOR BETTER At Xapo, we embrace our differences and actively foster an inclusive environment where we all can thrive. We’re a flexible, family-friendly environment, and we recognize that everyone has commitments outside of work. We have a goal of reaching gender parity and strongly encourage women to apply to our open positions. Diversity is not a tagline at Xapo; it is our foundation. RESPONSIBILITIES\n\n\n\n* Design and build data structures on MPP platform like AWS RedShift and or Druid.io.\n\n* Design and build highly scalable data pipelines using AWS tools like Glue (Spark based), Data Pipeline, Lambda.\n\n* Translate complex business requirements into scalable technical solutions.\n\n* Strong understanding of analytics needs.\n\n* Collaborate with the team on building dashboards, using Self-Service tools like Apache Superset or Tableau, and data analysis to support business.\n\n* Collaborate with multiple cross-functional teams and work on solutions which have a larger impact on Xapo business.\n\n\n\n\nREQUIREMENTS\n\n\n* In-depth understanding of data structures and algorithms.\n\n* Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data.\n\n* Experience in designing and developing ETL data pipelines.\n\n* Proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs.\n\n* Programming experience in building high-quality software. Skills with Python or Scala preferred.\n\n* Strong analytical and communication skills.\n\n\n\n\nNICE TO HAVE SKILLS\n\n\n* Work/project experience with big data and advanced programming languages.\n\n* Experience using Java, Spark, Hive, Oozie, Kafka, and Map Reduce.\n\n* Work experience with AWS tools to process data (Glue, Pipeline, Kinesis, Lambda, etc).\n\n* Experience with or advanced courses on data science and machine learning.\n\n\n\n\nOTHER REQUIREMENTS\n\nA dedicated workspace. A reliable internet connection with the fastest speed possible in your area.Devices and other essential equipment that meet minimal technical specifications.Alignment with Our Values.\n\n\nWHY WORK FOR XAPO? \n\nShape the Future: Improve lives through cutting-edge technology, work remotely from anywhere in the world\n\nOwn Your Success: Receive attractive remuneration, enjoy an autonomous work culture and flexible hours, apply your expertise to meaningful work every day\n\nExpect Excellence: Collaborate, learn, and grow with a high-performance team. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Engineer, Python, Scala and Apache jobs that are similar:\n\n
$80,000 — $125,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.