Lead Data Engineer

AgileEngine is a topranking provider of software solutions to Fortune 500 Global 500 and Future 50 companies. Listed on Inc. 5000 among the fastestgrowing US companies we are always open to talented software UX and data experts in the Americas Europe and Asia.

If you like a challenging environment where you re working with the best and are encouraged to learn and experiment daily there s no better place guaranteed! :)

What you will do

• 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 handson exploration of data sets via Jupyter SQL dashboards statistical analysis and data visualizations;
  

• Partner with the internal product and business intelligence teams to determine the best approach around data ingestion structure and storage. Then work with the 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.
  

Must haves

• Bachelor s degree and 3 years of work experience in Data Engineering and Analytics fields or consulting roles with a focus on digital analytics implementations;
  

• Experience with large scale data warehouse management systems such as BigQuery for 1 years with advanced level understanding of warehouse cost management and query optimization;
  

• Proficient in Python;
  

• Experience with Apache Airflow or equivalent tools for orchestration of pipelines;
  

• Able to write SQL to perform common types of analysis and transformations;
  

• Strong problemsolving and creativethinking skills;
  

• Demonstrated development of ongoing technical solutions while developing and maintaining documentation at times training impacted teams;
  

• Experience developing solutions to business requirements via handson discovery and exploration of data;
  

• Exceptional written and verbal communication skills including the ability to communicate technical concepts to nontechnical audiences as well as translating business requirements into Data Solutions;
  

• Experience with ETL & ELT;
  

• Experience building and deploying applications on GCP cloud platform;
  

• Builds strong commitment within the team to support the appropriate team priorities;
  

• Stays current with new and evolving technologies via formal training and selfdirected education.
  

Nice to haves

• Experience with Snowflake Redshift and other AWS technologies;
  

• Experience with Docker and container deployment;
  

• Influences and applies data standards policies and procedures;
  

• Experience with Data Modeling of performant table structures;
  

• Experience with Marketing tools like Kochava Braze Branch Salesforce Marketing Cloud is a plus;
  

• Experience with exploratory data analysis using tools like iPython Notebook Pandas & matplotlib etc;
  

• Familiarity in Hadoop pipelines using Spark Kafka;
  

• Familiar with GIT;
  

• Familiar with Adobe Analytics (Omniture) or Google Analytics;
  

• Digital marketing strategy including site video social media SEM SEO and display advertising.
  

The benefits of joining us

• Professional growth
  

Accelerate your professional journey with mentorship TechTalks and personalized growth roadmaps.

• Competitive compensation
  

We match your evergrowing skills talent and contributions with competitive USDbased compensation and budgets for education fitness and team activities.

• A selection of exciting projects
  

Join projects with modern solutions development and toptier clients that include Fortune 500 enterprises and leading product brands.

• Flextime
  

Tailor your schedule for an optimal worklife balance by having the options of working from home and going to the office whatever makes you the happiest and most productive.