- 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.

Requirements :

- 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).