| Need!!Data Engineer (Analytics and Paid media/ Digital marketing)@( remote) at San Jose, California, USA |
| Email: [email protected] |
| Hi, Please check the below position and get back to me asap. Position Data Engineer (Analytics and Paid media/ Digital marketing) Location San Jose CA ( remote) Position Type Contract to hire Note: We are looking for someone with the technical ability to build and manage data pipelines - but ALSO has experience and familiarity with marketing use cases and data analytics. (e.g. do they know about impressions, clicks, conversions, demand). Ideally, they will have worked with Google Ad Stack, Adobe analytics or similar. Technical Proficiency in Data Engineering and Pipeline Development Proficiency in this area includes the design, creation, and maintenance of data pipelines and the systems that support data collection, storage, processing, and analysis. SQL: Expertise in database management and querying languages to handle and analyze large datasets. Python: Proficient in using Python for data manipulation, processing, and pipeline development, with libraries such as Pandas, NumPy, and PySpark. APIs: Experienced in integrating and managing APIs for data ingestion and integration from multiple sources. QA (Quality Assurance): Strong background in ensuring data integrity, accuracy, and reliability through rigorous quality assurance processes. Marketing Domain Expertise Specialized knowledge in leveraging digital marketing tools and strategies to enhance engagement and conversion rates across various platforms. Experience: Paid Media: Skilled in managing and optimizing paid advertising campaigns on platforms like Google Ads and LinkedIn Ads. Content Experience Platforms: Proficient in using major content management and marketing platforms like Adobe Experience Manager and Oracle Eloqua for content personalization and campaign management. Analytics Capability in data analytics involves understanding and applying data analysis techniques to derive insights from data, supporting business decisions and strategy development. Data Analysis: Able to perform rigorous data analysis to uncover trends, patterns, and insights that inform business strategies. Analytics Tools: Experienced with analytical tools such as Google Analytics, Tableau, and other data visualization and analysis software. Decision Support: Providing actionable insights to guide marketing strategies, product development, and customer engagement initiatives. Data Health / Quality Analytics: monitoring and manage the health of data pipelines to maintain quality. Thanks & Regards, swapna Sr US IT Recruiter : [email protected] 5151 Headquarters Dr. Suite 105 Plano, TX 75024 -- Keywords: quality analyst active directory information technology California Texas Need!!Data Engineer (Analytics and Paid media/ Digital marketing)@( remote) [email protected] |
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| Sat Jun 15 00:19:00 UTC 2024 |