What you'll do:

• Build Data ETL Pipelines
• Develop data set processes
• Strong analytic skills related to working with unstructured datasets
• Evaluate business needs and objectives
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
• Interpret trends and patterns
• Work with data and analytics experts to strive for greater functionality in our data system
• Build algorithms and prototypes
• Explore ways to enhance data quality and reliability
• Work with the Executive, Product, Data, and D esign teams, to assist with data-related technical issues and support their data infrastructure needs.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

What makes you a great fit:

• Proven experience as a data engineer, software developer, or similar of at least 3 years.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with Azure, AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with BigQuery
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with languages: Python, Java, C++, Scala, SQL, R, etc.
• Good hands-on with Hive, Presto.