As a Data Engineering Manager you and your engineering team will guide the evolution of our data products to meet the challenges of increasing scale and complexity ensuring that solutions are both reliable and performant. You will lead your team in delivering high-quality systems while staying actively engaged in technical problem-solving and design.A successful candidate will have a proven track record of leading or mentoring engineers and analysts designing scalable data systems and products and building data models for reporting and analytics. You will be well-versed in leveraging traditional ETL/ELT and data generation technologies with a deep understanding of distributed data storage and processing frameworks such as Spark Kafka EMR cloud data warehouses and Hadoop.
- 3 years of experience managing teams of software engineers and analysts
- Solid background in computer science mathematics or similar quantitative fields with a minimum of 8 years of professional experience
- Demonstrated expertise in practical applications of data warehousing concepts methodologies and frameworks using various distributed technologies such as SparkSQL PySpark Java Scala Hadoop Kafka Snowflake and Vertica
- Proven ability to design for multiple cloud environments including Amazon Web Services Microsoft Azure and Google Cloud Platform
- Hands-on experience with SparkSQL Hive Druid Cassandra Solr or other big data query engines
- Deep understanding of modern data architectures at scale especially serving data as a platform in support of data science teams
- Advanced skills using one or more scripting languages (e.g. Python Bash)
- Proficiency in applying data encryption and data security standards
- Expertise in modern table formats such as Apache Iceberg and file formats such as Parquet
- Knowledge of visualization tools such as Tableau and ThoughtSpot
- Demonstrated ability to communicate technical concepts to a business-focused audience
- Passion for reinforcing and enriching an engineering team culture that drives engagement and satisfaction
- Most importantly a sense of humor and an eagerness to learn
Required Experience:
Manager
As a Data Engineering Manager you and your engineering team will guide the evolution of our data products to meet the challenges of increasing scale and complexity ensuring that solutions are both reliable and performant. You will lead your team in delivering high-quality systems while staying activ...
As a Data Engineering Manager you and your engineering team will guide the evolution of our data products to meet the challenges of increasing scale and complexity ensuring that solutions are both reliable and performant. You will lead your team in delivering high-quality systems while staying actively engaged in technical problem-solving and design.A successful candidate will have a proven track record of leading or mentoring engineers and analysts designing scalable data systems and products and building data models for reporting and analytics. You will be well-versed in leveraging traditional ETL/ELT and data generation technologies with a deep understanding of distributed data storage and processing frameworks such as Spark Kafka EMR cloud data warehouses and Hadoop.
- 3 years of experience managing teams of software engineers and analysts
- Solid background in computer science mathematics or similar quantitative fields with a minimum of 8 years of professional experience
- Demonstrated expertise in practical applications of data warehousing concepts methodologies and frameworks using various distributed technologies such as SparkSQL PySpark Java Scala Hadoop Kafka Snowflake and Vertica
- Proven ability to design for multiple cloud environments including Amazon Web Services Microsoft Azure and Google Cloud Platform
- Hands-on experience with SparkSQL Hive Druid Cassandra Solr or other big data query engines
- Deep understanding of modern data architectures at scale especially serving data as a platform in support of data science teams
- Advanced skills using one or more scripting languages (e.g. Python Bash)
- Proficiency in applying data encryption and data security standards
- Expertise in modern table formats such as Apache Iceberg and file formats such as Parquet
- Knowledge of visualization tools such as Tableau and ThoughtSpot
- Demonstrated ability to communicate technical concepts to a business-focused audience
- Passion for reinforcing and enriching an engineering team culture that drives engagement and satisfaction
- Most importantly a sense of humor and an eagerness to learn
Required Experience:
Manager
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