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Location: Fort Lauderdale Duration: 6+ months (with possibility of being extended to 12) Interview process: First round interview is a video conference with manager, second round interview is an onsite with team
Description: CDM Data/Data Products Overview
Role Details: The Data Engineer should possess a deep sense of curiosity and a passion for building smarter products based on data, and the ability to communicate data structures and tools throughout the Digital Media organization. The perfect candidate for this role will use their skills in reverse engineering, analytics and creative experimental solutions to devise data and BI solutions. This engineer supports data pipeline development which includes machine learning algorithms using disparate data sources. The ideal candidate will also work BI, Research, Engineering and Product teams to implement data-driven plans that drive the business.
Your Day-to-Day: ¿ Works with large volumes of traffic data and user behaviors to build pipelines that enhance raw data. ¿ Able to break down and communicate highly complex data problems into simple, feasible solutions. ¿ Extract patterns from large datasets and transform data into an informational advantage. ¿ Find answers to business questions via hands-on exploration of data sets via Jupyter, SQL, dashboards, statistical analysis, and data visualizations. ¿ Partnering with the internal product and business intelligence teams to determine best approach around data ingestion, structure and storage then, working with team to ensure these are implemented correctly. ¿ Contributing ideas on how to make our data more effective and working with other members of the engineering, BI teams and business units to implement changes. Key Projects: ¿ Breaking down and communicating highly complex data problems as simple, feasible solutions. ¿ Ongoing development of technical solutions while developing and maintaining documentation, at times training impacted teams. ¿ Developing solutions to business requirements via hands-on discovery and exploration of data. ¿ Early on collaboration with the team on internal initiatives to create strategies that improve company processes. Qualifications: ¿ Bachelors' degree and 2-4 years' work experience in Analytics/Measurement Operations/Tracking fields or consulting roles with focus on digital analytics implementations. ¿ Experience with data management systems, both relational and NoSQL (e.g., HBase, Cassandra, MongoDB) ¿ Proficient in Python. ¿ Able to write SQL to perform common types of analysis. ¿ Experience with exploratory data analysis using tools like iPython Notebook, Pandas & matplotlib, etc. ¿ Strong problem solving and creative-thinking skills. ¿ Experience with a Python web framework such as Django or Flask. ¿ Ability to break down and communicate highly complex data problems as simple, feasible solutions
18-00163 Data Engineer
¿ Demonstrated development of ongoing technical solutions while developing and maintaining documentation, at times training impacted teams. ¿ Experience developing solutions to business requirements via hands-on discovery and exploration of data. ¿ Exceptional written and verbal communication skills, including the ability to communicate technical concepts to non-technical audiences, as well as translating business requirements into Data Solutions ¿ Familiarity with Informatica and ETL concepts. ¿ Experience building and deploying application on a cloud platform (Google Cloud Platform preferred) You might also have: ¿ Familiarity with Data Modeling. ¿ Experience with full stack application development. ¿ Familiarity in Hadoop pipelines using Spark, Kafka. ¿ Familiar with version control systems. ¿ Can perform statistical analyses using tools such as R, Numpy/SciPy with Python ¿ Experience with Adobe Analytics (Omniture) or Google Analytics. ¿ Digital marketing strategy including site, video, social media, SEM, SEO, and display advertising. ¿ Familiarity with SQL skills for MySQL, Hive and BigQuery.
Top 3 required skills: • Proficient in Python – python experience is a must • Experience building and deploying application on a cloud platform (Google Cloud Platform preferred) • Experience with data management systems, both relational and NoSQL (e.g., HBase, Cassandra, MongoDB
Prescreen Questions: • Do you have experience working in Data Analytics/Measurement, Operations/Tracking fields or similar roles with focus on digital analytics implementations? • How many years of experience? • Do you have experience building and deploying application on a cloud platform? • Do you have experience with Google Cloud Platform? • What data management systems do you have experience with? Do you have both relational and NoSQL experience? • Do you have experience with Python? How many years? How recent? • Do you have experience with iPython Notebook, Pandas or matplotlib? • Have you worked with Python web frameworks such as Django and Glask? • Can you write SQL to perform common types of analysis? • Are you familiar with Informatica and ETL? • Are you comfortable with a contract position? • Are you local to Fort Lauderdale? • How soon can you start a new position?
Notes: This position is a hybrid between Data Engineering role/Data product role. Looking for a hybrid between the 2. Able to handle data engineer responsibilities. Ingest data, understand data and come up with meaningful insights and build product around data. Will be building out an API. Must have Python experience. Must be familiar with NoSQL database (like Mongo) and relational database concepts as well - using PostgreSQL moving forward but experience in Oracle, MySQL, SQLServer are fine. Relational
18-00163 Data Engineer
Database experience is more on the analytic side. Will be building out a quality control dashboard. Analyzing data that comes in from client. Creating quality control modules and implementing modules and looking for abnormalities. - Python – required - Big data – doesn't need to be an expert but must have experience in Cloud infrastructure because they will be building up in the Cloud. They are using Google cloud. Preferred Google Cloud experience but will look at candidates with AWS too.
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