Job Description:
-Be the subject matter expert in your area
-Data & Analytics
-Building high-performance Data Pipelines
-Expertise in Cloud Technologies, Data Architecture, and Modern Data Warehouses DWH to design and implement scalable, high-impact solutions
-In this role, you'll be the Go-to Expert for all things Cloud (GCP OR AWS) and Data
-Build and maintain high-performance Data Pipelines that enable deeper Analysis, Reporting
-Design and implement large-scale, Data Structures that support Analytics and Data Science needs
-Create seamless Data Ingestion Processes (both real-time and batch) using modern ETL/ELT practices, Cloud Technologies (GCP OR AWS), Big Data Tools to ensure smooth data flow
-Continuously improve Reporting and Analysis by Automating processes, streamlining Workflows, and empowering teams with self-service Data Tools
-Be the subject matter expert in your area, understanding the ad tech landscape and identifying ways to leverage Client’s unique position in market
Skills And Experience:
-Designing and Implementing Data Warehouse DWH solution
-Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift)
-Writing complex SQL queries and Developing robust ETL/ELT pipelines to Transform and Integrate Data
-Experience in languages like Python OR R language and Coding
-Building and Optimizing APIs, Containerization, and Orchestration with Kubernetes to ensure scalable, high-performance Data Systems
-Cloud technologies such as GCP or AWS
-Experience leading and collaborating with agile teams, utilizing tools e.g. Jira and Confluence
Expertise:
-Expertise in creating reports and dashboards using tools like Tableau, Looker, or Power BI
-Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies
- (Optional) Solid understanding of digital advertising technology:
*"Ad Serving": Google Ad Manager, Sizmek, and OpenX; "Analytic": Google *Analytics, Adobe Analytics, and Mixpanel;
*"DSP (Demand-Side Platform)": Adobe Audience Manager and Lotame;
*"SSP (Supply-Side Platform)": PubMatic, Rubicon Project, and OpenX.
*"QA (Quality Assurance)": testing for ad load times, compatibility, and accuracy of tracking.
*Targeting: Behavioral Targeting, Contextual Targeting, Geo-targeting, Retargeting
-Passionate about working with large datasets, skilled at spotting trends
Any Graduate