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No of position :- ( 1 )
Post :- 25th Nov 2023
4. Lead the Data Product team to propose and craft data integration, data operations processes and data engineering logic to implement solutions for Digital Media Analytics processes that improve business impact and adoption
5. Partner with Business Stakeholders to identify and prioritize requirements and define Digital Marketing data strategy
6. Be a player & coach to combine people leadership, strategic partnership and data hands-on activities
7. IT Lead will run a team of 10-15 off-shore contractors, and is expected to write and run discovery-level SQL queries and API calls
8. Identify and implement most appropriate combination of methodologies & tools within defined technology stack, to ensure efficient scalability, flexibility and performance of the data
9. We are accountable for building Data as a Product, and ensure high data governance standards, including data completeness, harmonization, standardization, data quality, documentation, accessibility, usability and scalability
10. Be a key player of the design & development team, working closely with other team members within the “lab” and “factory” construct
11. Propose implementation of Ad Servers, Demand Side Platforms, Paid Search and Social Media and Web Analytics data sets to be combined and used to optimize Digital Marketing
12. Be an SME and a key point of contact for Digital Analytics data and capabilities (Google Campaign Manager, Display&Video 360, Google Ads, Search Ads 360, Social Marketing, Amazon DSP, Google Analytics 360, GA4, etc.)
Qualifications
13. Bachelor’s degree or higher is required
14. A minimum of 5 years experience is required
15. Ability to interpret data & make data driven decisions, understand & propose data ingestion, storage, integration and visualization logic for Digital Marketing Domain use cases is required
16. Experience defining integration logic for data ingested from Digital Marketing sources (Google stack, Facebook, The Trade Desk, Amazon, Google Analytics, Adobe Analytics, etc.) to drive business insight is preferred
17. Experience with Audience Management (GA360, DSP, DMP, CDP) is preferred
18. Deep knowledge of Data Governance, Master Data Management, Data Harmonization, Data Cataloging, Data Architecture, Data Quality principles and methodologies is required
19. Excellent Analytical and Critical thinking skills are required
20. Ability to make decisions in the environment of high ambiguity
21. Collaboration and ability to partner within multifunctional team, on high-complexity projects is required
22. Experience working with tools & platforms within GCP, Azure, AWS and Modern Dat Platform stack (Snowflake, dbt, Fivetran, Airflow) is preferred
23. Excellent proven knowledge of SQL is required
24. Solid grasp of Python preferred not required
25. Strong data engineering skills including stream-processing, cloud technologies, API protocols is required
26. Experience working in Agile methodology; ability to define and implement prototypes and MVPs, experience with Scrum/Kanban is required
27. Knowledge of viz tools (Tableau, Power BI, Domo, Looker) is preferred