Open Source Engineer (India)

Posted 5 Days Ago
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
Hybrid
Entry level
Artificial Intelligence • Cloud • Software
The Role
As a Solutions Engineer at Onehouse, you will collaborate with open source developers and customers to troubleshoot technical issues, develop solutions, and contribute to product development. The role involves working with major cloud providers, modern data tools, and cloud data services to support customers effectively.
Summary Generated by Built In

About Onehouse

Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML).


We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!


The Community You Will Join

When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. As the founding member of our solutions support team, you will have a large impact on the direction of our product. The solutions engineering team is the critical first line of defense to keeping our customers happy, directly interacting with the community to hear the pain points, challenges and opportunities to grow the projects. We envision this role with a strong growth opportunity to step up and build a support team as we grow. Onehouse is fundamentally dedicated to evolving and uplifting the open source community, and your role will enable you to become a leader and influencer in the broader data community as a whole.


A Typical Day:

  • Troubleshoot, resolve and suggest deep code-level analysis of Apache Hudi with Spark and Flink to address complex issues raised by OpenSource user/Onehouse customer
  • Provide best practices guidance around Apache Hudi runtime performance and usage of Apache Hudi core libraries and APIs for custom-built solutions
  • Help the Engineering/Product Team with detailed troubleshooting guides and runbook
  • Contribute to automation and tooling programs to make daily troubleshooting efficient.
  • Work with the Data Engineers and Engineering Team and spread awareness of upcoming features and releases.
  • Identify Apache Hudi bugs /contribute possible workarounds
  • Evangelize Apache Hudi and expand its ecosystem by open source contributions to Hudi integrations with other open source projects in this space.
  • Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
  • Participate in weekly on call rotation to help the Open source community.Deliver advanced technical and operational support for open-source users and customers.
  • Triage, escalate, and resolve issues with a sense of urgency and commitment to and deliver advanced technical and operational support for open-source users and customers.

What You Bring to the Table:

  • 3+ years of experience working directly with customers on technical engagements.
  • 3+ years of experience with major cloud providers like AWS, GCP or Azure.
  • Strong verbal and writing communication skills with a track record of simplifying technical explanations.
  • 3+ years of deep experience with Apache Spark and knowledge on Spark’s runtime internals, query tuning, performance tuning, troubleshooting and debugging Spark solutions.
  • Hand-on technical experience building, operating, and troubleshooting data engineering pipelines.
  • Working knowledge of a few modern data tools and frameworks like Apache Spark, Kafka, Flink, Presto/Trino, Hive, DBT, Airflow, Parquet, Avro, ORC.
  • Familiarity with some cloud data services like EMR, Redshift, Kinesis, Glue, Dataproc, BigQuery, Databricks, HDInsight, Synapse.
  • Ability to collaborate with multiple stakeholders internally and externally.

  • Nice to haves (but not required):

  • Experience with modern data lakehouse technologies like Apache Hudi, Iceberg or Delta Lake.
  • Experience in contributing to an open source project.

How We'll Take Care of You

-Equity Compensation; our success is your success with eligible participation in our company equity plan

-Health & Well-being; we'll invest in your physical and mental well-being by reimbursing up to 20,000 INR for your monthly insurance premium

-Financial Future; we'll invest in your financial well-being by making this role eligible for the provident fund of which Onehouse will contribute up to 1800 INR/month 

-Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business

-Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 17 paid company holidays

-Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks

-Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 (USD) stipend for your initial office/desk setup

-Child Bonding!; 26 weeks off for birthing and 12 weeks for surrogate and adoptive parents - fully paid so you can focus your energy on your newest addition



House Values

One Team

Optimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of.


Tough & Persevering

We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one!


Keep Making It Better Always

Rome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward.


Think Big, Act Fast

We have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns.


Be Customer Obsessed

Everyone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company.

Top Skills

Python
The Company
HQ: Menlo Park, CA
54 Employees
On-site Workplace
Year Founded: 2021

What We Do

Onehouse delivers a universal data lakehouse through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running. Onehouse offers the widest interoperability for your data in the market across table formats, multiple compute engines and multiple cloud providers.

We have a stellar team of inspired, seasoned professionals including data, distributed systems, and platform engineers from Uber, LinkedIn, Confluent, and Amazon. Our product team has helped build enterprise data products at major enterprises including Azure Databricks.

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