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Lead Data Engineer at Remote, Remote, USA
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From:

Satyajit Nayak,

tekinspirations

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Hello, 

Hope you are doing well!

Please review the JD and share resumes.

Job Description -

Lead Data Engineer

Location: REMOTE

Duration: 6 months

Start: ASAP

Interview: Video

Must Have KEYS : 

            NEED to have GCP 

            Client facing 

            some knowledge of google analytics 

            and Big query experience is a must (biggest part of this role)

            If they do not have big query or GA4 experience on their resume the team will not move forward  = Needs to be spelled right               

o            7+ years' experience in data engineering for digital marketing 

o            2+ years in a consulting role   

o            Advanced skills in BigQuery, SQL and Python skills (Spark, Scala a plus) 

o            Experience using Google Cloud Platform for data warehousing and modeling pipelines (Azure, AWS a plus) 

o            Experience applying data in Google Marketing Platform (Search/Display, Optimize, Ads Data Hub) 

o            Experience with leveraging third-party marketing tools and APIs for data warehousing   

o            Experience working with large scale data in Google Analytics or Adobe Analytics 

o            Experience with Customer Data Platforms a major plus  

Role and Responsibilities

            

o            Oversee data engineering projects, including marketing data warehousing and ML modeling pipelines 

o            Perform discovery and solutioning activities with business development, account & program management, and clients to define and scope projects. Attend client calls as the SME throughout the sales process 

o            Create data infrastructure diagrams and develop ETL solutions leveraging various cloud technologies and third-party tools   

o            Design Marketing Data Warehouses, ingesting data from web analytics, CRM, and media platforms, using appropriate cloud infrastructure for automation including Airflow, Apache Beam, microservices, and other solutions   

o            Propose componentsolutions, when necessary, with sensitivity to MVP needs 

o            Document data dictionaries and business glossaries for GMP data streams.   

o            Model source data into data models for reporting and analysis. 

o            Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly 

o            Drive collaboration by facilitating brainstorming, peer reviews, and trainings to increase technical capabilities of the team; drive the adoption of git for quality, scalable solutions   

o            Monitor data engineering team bookings and maintain established utilization rates 

o            Follow developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand 

o            Maintain and fortify the relationship with Google, ensuring Bounteous retains its status as a preferred reseller 

o            Participate regularly in calls with Googles GCP representative(s)   

o            Gain trust with Google reps and leadership to earn new account opportunities   

o            Represent GMP services to partners, clients, and industry 

o            Retain a high-level of client satisfaction, ensuring the retention and expansion of the GMP client portfolio 

o            Maintain a strong understanding of Google Marketing Platform offerings, staying updated on new features and capabilities 

o            Represent the needs and feedback of clients to both Bounteous and Google, fostering a collaborative partnership 

o            Achieve CGP certification and specialization with support from leaders of the Operating Unit and practice

Regards,

Satyajit nayak

Sr. Technical Recruiter

TEK Inspirations LLC |
13573 Tabasco Cat Trail, Frisco, TX 75035

E


[email protected]  

Linkedin:

linkedin.com/in/satyajeet-nayak-85751625b

Keywords: machine learning Texas
Lead Data Engineer
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Tue Jul 23 15:53:00 UTC 2024

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