Data Engineer

We are on a mission to rid the world of bad customer service by mobilizing the way help is delivered. Todays consumers want an always-available customer service experience that leaves them feeling valued and respected. Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach. We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time. Through our market-leading AI-powered chatbots and automation, we help brands deliver instant and rapid resolutions. Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works. Companies such as Scopely, Supercell, Brex, EA, Square along with hundreds of other leading brands use the Helpshift platform to mobilize customer service delivery. Over 900 million active monthly consumers are enabled on 2B+ devices worldwide with Helpshift. Some numbers that illustrate our scale: 85k/rps 30ms response time 300 GB data transfer/hour 1000 VMs deployed at peak Role & responsibilities Building maintainable data pipelines both for data ingestion and operational analytics for data collected from 2 billion devices and 900M Monthly active users Building customer-facing analytics products that deliver actionable insights and data, easily detect anomalies Collaborating with data stakeholders to see what their data needs are and being a part of the analysis process Write design specifications, test, deployment, and scaling plans for the data pipelines Mentor people in the team & organization Preferred candidate profile 3+ years of experience in building and running data pipelines that scale for TBs of data Proficiency in high-level object-oriented programming language (Python or Java) is must Experience in Cloud data platforms like Snowflake and AWS, EMR/Athena is a must Experience in building modern data lakehouse architectures using Snowflake and columnar formats like Apache Iceberg/Hudi, Parquet, etc Proficiency in Data modeling, SQL query profiling, and data warehousing skills is a must Experience in distributed data processing engines like Apache Spark, Apache Flink, Datalfow/Apache Beam, etc Knowledge of workflow orchestrators like Airflow, Dasgter, etc is a plus Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc) Excellent verbal and written communication skills Bachelors Degree in Computer Science (or equivalent) Perks and benefits Hybrid setup Worker's insurance Paid Time Offs Other employee benefits to be discussed by our Talent Acquisition team in India. Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status. Privacy Notice By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.