
Data Engineer
6 days ago
About the Role:
">We are seeking a seasoned data engineer to spearhead the development and maintenance of large-scale data pipelines that process massive datasets from billions of devices and hundreds of millions of active users.
">Key Responsibilities:
">- Design, build, and deploy scalable data pipelines using Python and SQL
- Collaborate with stakeholders to identify data requirements and provide actionable insights through customer-facing analytics products
- Mentor junior team members and contribute to the organization's growth and success
- Create detailed design specifications, test plans, deployment strategies, and scaling plans for data pipelines
Requirements:
">- At least 3 years of experience in designing and running large-scale data pipelines that handle terabytes of data
- Proficiency in high-level programming languages like Python or Java
- Experience working with cloud-based data platforms such as Snowflake and AWS, EMR/Athena
- Knowledge of modern data lakehouse architectures using Snowflake and columnar formats like Apache Iceberg/Hudi, Parquet, etc.
- Strong skills in data modeling, SQL query optimization, and data warehousing
- Experience with distributed data processing engines like Apache Spark, Flink, Datalflow/Apache Beam, etc.
- Familiarity with workflow orchestrators like Airflow, Dagster, etc is a plus
- Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc)
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or equivalent
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