.Why is Perficient the best option?Inflection Point by Perficient is a leading global digital consultancy and has a presence around the globe transforming and connecting the most prominent brands with their customers. At Inflection Point by Perficient, we seek to grow alongside professionals promoting agile cultures and values as we challenge, champion, and celebrate our people for us to build a great future together.Job SummaryPerficient is looking for a Data Engineer to join our team. As a Data Operations Engineer, you will play a crucial role in ensuring the smooth functioning of our data infrastructure and operations. Your responsibilities will include designing, implementing, and maintaining data pipelines, optimizing data workflows, and troubleshooting any issues that may arise. The ideal candidate will possess proven experience in data engineering or a similar role, strong proficiency in programming languages such as Python, Java, or Scala, and familiarity with AWS Glue and DataZone for data ingestion, transformation, and governance.What do you need to come aboard?Bachelor's degree in Computer Science, Information Systems, or a related discipline. A Master's degree or higher is a distinct advantage.6+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects.Experience in Snowflake is necessary.Mastery in Python, SQL, Snowflake, and BigQuery.Deep understanding and practical application of data warehouse concepts.Extensive experience with data pipeline and workflow management tools.Experience with modern Scrum-based Software Development Life Cycle (SDLC).Deep understanding of Git and its workflows.Openness to collaborating with Data Scientists and Businesses.Understanding of marketing and media metrics (i.E., what is Conversion Rate and how is it calculated).Proven expertise in handling and optimizing large-scale data.Comprehensive understanding of data governance principles and data quality management practices.Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.To Rock This Role, You Should:Lead the design, development, testing, and maintenance of scalable data architectures, ensuring alignment with business and technical objectives.Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more.Oversee the implementation, management, and optimization of Snowflake and BigQuery databases, ensuring top-tier performance, security, and scalability.Champion the application of data warehouse concepts, managing vast data across a myriad of storage platforms.Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions
