Data Engineer

TalentScout is a looking for an energetic and enthusiastic Data Engineer who is passionate about data to help us gather, cleanse and transform unstructured data into rich and insightful recruiting intelligence.  You will be our first in-house dedicated technical resource working side-by-side with our Product Manager and Data Team to help build our mission critical data sets.  You will be continually challenged to grow and enhance your data engineering skills while seeing the benefits of your contributions real-time.  It is an exciting opportunity in an exciting field working with a great team towards a wonderful and promising vision!

Job Description

• Develop and manage processing of large amounts of data both unstructured and structured
• Develop solutions to harvest and transform data from various sources
• Profile and resolve data quality issues to ensure complete and rich datasets
• Work with data team members to cleanse, transform and enrich the company’s datasets, leveraging automation and new technologies and concepts when possible
• Design data structures and solutions to deliver optimized processing and search functionality
• Partner with third party development teams to deliver technical requirements defined by the product and data teams
• Serve as a technical mentor for other team members
• Serve as the “Go to person” to enable the Data Team to complete their daily tasks
• As Data Team SME, candidate would assist in product evaluation and recommend suitable tools to use

Minimum Requirements 

• Experience with columnar and relational data stores
• Hands on experience with JavaScript, Python and Spark/PySpark
• Experience with Java and Map Reduce frameworks such as Hive/Hadoop
• Expert understanding of ETL techniques and best practices to handle extremely large volume of data
• Experience with ETL tools such as Talend or Alteryx
• Proficient with modern cloud computing platforms such as AWS
• Strong communication skills, enabling transparency and coordination across multiple regional and service teams
• Experience collaborating with distributed teams
• Background in Big Data

Benefits

• Paid Holidays
• Paid Vacation Leaves
• Paid Sick Leave
• Maternity and Paternity Leave
• Medical/Health Insurance
• Performance Bonus
• Stock Bonus​