Technology: Data Science
Experience: 6+ years

Location: Atlanta, GA

Job description

Education and experience required

Job duration:6-8 months+ possible extension

Visa Status Accepted: All visas accepted except TN, L1 & Student visa (F1 OPT/CPT) 

As the Data Engineering Manager within Online Analytics & BI, you will help advance marketing's analytics and data science platforms.

You will have primary ownership of the data pipeline which integrates various data sources to produce analysis, reporting, and audience research.

The team will depend on you as the primary point of contact with the broader Marketing & IT team.

This position calls for top technical talent to implement continued design, development and optimization of the marketing data pipelines & data prep infrastructure built on cutting-edge cloud technologies.

Minimum Require qualifications:

  • BA/BS Degree in Computer Science, any Engineering discipline, Statistics, Information Systems or another quantitative field.
  • 6+ years of industry experience in data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
  • Experience leading a Data Engineering Team
  • Experience building and managing data pipelines and repositories in cloud environments such as Google Cloud, Microsoft Azure or AWS
  • Experience in Airflow or Luigi is a must
  • Advanced experience extracting/cleansing data and generating insights from large transactional data sets using Spark SQL,  SQL, Python, and PySpark on cloud
  • Experience in Apache Spark, Spark Structured Streaming, Spark SQL etc.
  • Experience with optimizing Spark pipelines on Dataproc, Databricks or similar technologies.
  • Strong verbal and written communications skills at all levels; ability to communicate complex customer behavior information to both functional partners and Executive Leadership
  • Open to idea exploration with strong problem-solving/analytical abilities
  • Demonstrated strength in creating partnerships and in building relationships with other functions and associates within the organization
  • Experience leading and presenting proof of values and business to leaders

Roles & Responsibilities:

  •  Apply strong technical and management skills to guide data engineering teams in building industry-leading technology
  • Embrace an active team role to design, build and launch efficient and reliable data pipelines moving data across a number of platforms including Data Warehouse, online caches and real-time systems.
  • Create data architecture that is flexible, scalable, and consistent for cross-functional use, and aligned to stakeholder business requirements.
  • Manage workflow orchestration and demonstrate expertise in data modeling, ETL development, and data warehousing
  • Design industry-leading tools to increase productivity of Data Analysts, Data Scientists and Marketers
  • Partner with BI, IT, Marketers and Data Scientists to understand data needs and assist them in accessing and leveraging key data sets
  • Define SLA and acceptable time lags by data source, define QA process, and socialize resolution process to ensure data is flowing accurately through data creation to our presentation layers
  • Help Marketing organization to become a 100% data-driven organization by building a next generation data platform that brings accurate and timely data to the Marketers
  • Validate Data Engineering business data elements, organizational and business intelligence architecture designs for engineering functional areas from Dashboards, Data Lakes, Data Operations, ML - AI, and upstream/downstream intake and output processes

Designs and builds the data strategies and roadmaps necessary to serve marketing analytics and data science