Data Engineer / Python / Snowflake / ETL - Philadelphia
201 E Clarkson Ave
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Are you interested in working in an entrepreneurial environment that prides working hard, thinking fast, and delivering results? Want a company that feels like a family? Look no further, a digital consulting firm located in Philadelphia does all that while creating digital brands, products, and service experiences. Currently they are looking for a Data Engineer to join their Data and Insights practice, as they develop a cloud-based data warehouse platform to collect, ingest, process, integrate, analyze and mine data to extract insights. This individual will need to have a solid experience and understanding of architecting, designing and operating large scale data and analytics cloud storage solution using Snowflake, BigQuery or Redshift. Ideally someone who has a natural sense for marketing and an eye for detail. Someone that cares about the quality of the input data and how the processed data is ultimately interpreted and used. If you are a team player and your curiosity drives you to explore new technologies then this role is for you!
2 - 3 years experience in a data warehouse, analytics, and/or data engineering role
Snowflake, BigQuery or Redshift is a must
Proficient in Python, Spark and/or Scala
Proficient in SQL
Ability to understand data pipelines and modern ways of automating data using cloud based and on-premise technologies
Experience developing/implementing data transformation via ETL processes and data pipelines
Exposure to a data visualization platform (Tableau, Power BI, Google Data Studio, etc.)
Familiarity with Digital Marketing
Comfort in learning new technologies depending on client needs
Familiarity with a website analytics tool (Google Analytics, Adobe Analytics, etc.)
35% Design and implement secure data pipelines
35% Automate, optimize, and maintain reporting across data warehouse
25% Design and implement BI dashboard integrations
5% Client interaction
Competitive Salary: Up to $100/year, DOE
You will receive the following benefits:
Multiple medical insurance plans to choose from
401(k) with 5% match
15 days PTO
Individual growth programs
On-site cafeteria, gym, breakout rooms
Easy access to upper management
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
Associated topics: data analytic, data architect, data center, data manager, data warehouse, database, database administrator, mongo database, sql, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.