Introduction We are on a mission to rid the world of bad customer service by mobilizing the way help is delivered Today s 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through a mobile-first approach We have changed how conversations take place moving the conversation away from slow outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their time Through our market leading chatbots and automations we help brands deliver instant and rapid resolutions Because agents play a key role in delivering help our platform gives agents superpowers with automations and AI that simply works Companies such as Brex EA Square Tencent Supercell along with hundreds of other leading brands use the Helpshift platform to mobilize customer service delivery Over 820 million active monthly consumers are enabled on 2B devices around the world with Helpshift Some numbers which illustrate our scale 85k rps 30ms response time 300 GB data transfer hour 1000 VMs deployed at peak About the team - Consumers care first and foremost about having their time valued by brands Brands need insights into their customer service operation to serve their consumers effectively Such insights and analytics are delivered through various data products like in-app analytics dashboard and data-sharing integrations The data platform team is responsible for designing building and maintaining the data infrastructure that enables such data products at scale We build and manage data pipelines databases and other data structures to ensure that the data is reliable accurate and easily accessible We also enable internal stakeholders with business intelligence and machine learning teams with data ops This team manages the platform that handles 2 Million events per minute and process 1 terrabytes of data daily About Role - Building maintainable data pipelines both for data ingestion and operational analytics for data collected from 2 billion devices and 800M Monthly active users Building analytics dashboards that provides actionable insights and can easily detect anomalies Collaborating with data analysts data scientists and other stakeholders to see what their data needs are and being apart of the analysis process Write design specifications test deployment and scaling plans for the data pipelines Collaborate with team members to ensure data quality code quality and service level objectives are met and exceeded Display solid work ethics Be a team player with a strong sense of ownership and collaboration Keep calm and learn every day Requirements About You - 2 years of experience in building and maintaining data pipelines that scale Proficiency in high-level object-oriented programming language Python or Java Experienced in writing efficient SQL data modeling and data warehousing skills Experience in cloud data platforms like AWS EMR Redshift Snowflake etc is a must Experience in building modern data lakehouse architectures using AWS and columnar formats like Apache Hudi Iceberg Parquet etc Experience in distributed data processing engines like Apache Spark Apache Flink Datalfow Apache Beam etc Knowedge of workflow orchestrators like Airflow Dasgter is a plus Data visualization skills are a plus Metabase PowerBI Tableau Hex etc Excellent verbal and written communication skills Bachelor s Degree in Computer Science or equivalent 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 colour age sexual orientation gender identity religion national origin citizenship marital status veteran status or disability status

📌 Data Engineer Se (Pune)
🏢 Keywords Studios
📍 Pune