Data Engineer

SQL/ PYTHON/ pyspark is a must .

Responsibilities

• Contribute to the design and growth of our Data Products and Data Warehouses around Engagement and Retention Analytics

• Work with team to design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)

• Our tech stack includes Hadoop, AWS, Snowflake, Spark and Airflow and languages include Python, Scala

• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

Basic Qualifications

• 1+ years of data engineering experience developing large data pipelines

• Strong Python programming skills

• Strong SQL skills and ability to create queries to extract data and build performant datasets

• Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data

Preferred Qualifications

• Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)

• You are a problem solver with strong attention to detail and excellent analytical and communication skills

Required Education

• Bachelor's or master's degree in computer science, Information Systems or related field