Data Engineer

Description:

• BI Data Engineer Responsibilities:
• Publish and communicate results, ensuring that timely, accurate reports are delivered to teams with digestible insights to inform the business.
• Audit data/systems quality through regular reporting of business indicators.
• Act as a key contributor on the team in creating business requirements for campaign reporting tools.
• Own and run operations and campaign performance reporting by using existing campaign reports, leading enhancement, prioritization, and development efforts with close partnership with the business and data engineering teams.
• Work with senior stakeholders and product management to propose roadmap and goals.
• Develop prototypes and POCs to demonstrate new ideas and technologies for internal and external customers.
• BI Data Engineer Qualifications:4+ years of experience in the Marketing Analytics domain.
• High proficiency in SQL (Snowflake, Vertica, MySQL or other RDBMS)
• Strong in Python programming language
• Strong data visualization skills required — ideally using Tableau.
• Hands-on experience in Kubernetes, Docker or other container technologies.
• Experience in designing and implementing RESTful preferred.
• Experience with Hadoop Ecosystem (HDFS, Hive, Spark, Presto, Parquet) and building large scale data pipelines.
• Highly analytical with a proven track record in data-rich analysis while able to translate complex analytics to business-shaping actions that are understood by business users.
• Extremely strong interpersonal skills with the ability to deliver meaningful insights from complex analysis to explain analytical outcomes and technical roadblocks in business terms.
• Ability to efficiently manage and implement quick-turn, tactical projects as a great teammate.
• A do-er and self starter who works well in a face-paced, dynamic, team environment.
• Highly responsive and adaptable.
• Good understanding of database modeling, ETL and data warehousing principles
• Validated ability to build rapport and credibility, and influence others to get results across a large organization.