See yourself at Twilio

Join the team as our next Principal Data Engineer (L5)

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

About the job

This position is needed to design and build data pipelines and services in cloud environments that fuels strategic business decisions across Twilio. You will partner with other engineers and product managers to translate data needs into critical information that can be used to implement scalable data platforms and self-service tools. We are looking for someone who is passionate about solving problems using engineering and data, thrives in an evolving environment, brings an enthusiastic and collaborative attitude, and delights in making a difference. As a successful candidate, you must have a deep background in data engineering and a proven track record of solving data problems at scale leveraging distributed data systems. You are a self-starter, embody a growth attitude, and can collaborate optimally across the entire Twilio organization.

 Responsibilities

In this role, you’ll:

• Design a data pipeline to feed data into applications for building a full-featured analytics environment.
• Collect and process raw data at scale for a variety of projects and initiatives.
• Design and develop data applications and frameworks
• Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
• Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.
• Ability to integrate your work into our production systems.
• Process unstructured data into a form suitable for analysis.
• Analyze processed data.
• Support business decisions with ad hoc analysis as needed.
• Monitoring data performance and modifying infrastructure as needed.
• Define data retention policies.
• Resolve variety of high impact problems/projects through in-depth evaluation of data
• Provide in-depth analysis with interpretive thinking using Data and develop innovative solutions to solve business problems

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table.

Required:

• 8+ years of experience as a data engineer

• Expert in relational SQL and NoSQL databases

• Experience with big data tools: Hadoop, Spark, Kafka, etc. 

• Experience with data pipeline and workflow management tools

• Experience with AWS cloud services

• Experience with working in Real time streaming data services.
• Experience with dealing with low latency API services, scaling them.

• Ability to efficiently work with high variety and volume of data

• Ability to write well-crafted, readable, testable, maintainable and modular code.

• Leverage bleeding-edge technology to work with large volumes of complex data

• Expert level knowledge in data modeling.

• Knowledge of programming languages - Python, Java

• Knack of data exploration and being able to serve business use cases smartly with data

Desired:

• Experience with stream-processing systems:Kafka, Spark-Streaming, etc.
• Excellent written and verbal communication skills.
• Experience working on Graph Databases
• Ability to influence and build effective working relationships with all levels of the organization.
• Any Data Engineering certificate is a plus

Location 

Bangalore, Karnataka

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.