Data Engineer at Duplo

• We are looking to  hire a Data Engineer who will be responsible for building and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
• The Data Engineer will support all data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibilities:

• Analyzing and organizing raw data 
• Building and maintaining optimal data pipeline architecture
• Evaluating business needs and objectives
• Combining raw information from different sources
• Building analytics tools that utilize the data pipeline to provide actionable insights into customer, operational efficiency and other key business performance metrics.
• Interpreting trends, patterns and exploring ways to enhance data quality and reliability
• Identifying opportunities for data acquisition

Requirements and Skills:

• Advanced working SQL knowledge and experience working with relational  and nosql databases, query authoring (SQL)
• We are looking for a candidate with 4+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected data sets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.

The ideal candidate should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and mongo.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.