Job Description

Our Data and Analytics team is looking for a Senior Data Engineer. Data is essential for all our decision-making needs whether it’s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets. This data is deeply valuable and gives us insights into how we can continue improving our service for our users, advertisers and our content partners. Our Engagement and Retention (E&R) Data Tech team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.

WHAT YOU'LL DO

• Contribute to the design and growth of our Data Products and Data Warehouses around audience Engagement and Retention (E&R) data.

• Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)

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

• Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts

• Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions

• Maintain detailed documentation of your work and changes to support data quality and data governance

• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)

• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team Start Time: 12:00 AM

Basic Qualifications

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

• 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

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

• Nice to have experience with Cloud technologies like AWS (S3, EMR, EC2)

• Solid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines

• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices

• Good Scripting skills, including Bash scripting and Python

• Familiar with Scrum and Agile methodologies

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

• Bachelor’s or Master’s Degree in Computer Science, Information Systems or related field

Company Description

TenTek has been in business since 1989, and is recognized as a leading staffing provider of tech professionals to a growing client base.