Job Location: Hyderābād
Responsibilities
- Collect, structure, analyze, organize and maintain RAW data from various data sources needed for creating predictive models in structured databases in order to ensure faster model building
- Design, build and codify data structures in efficient way to periodically feed in raw data from various internal and external sources and also manage and house model outputs for quick input to businesses;
- Build data systems and pipelines as per business needs and objectives, in this case prepare data to feed specifically to MMM and media measurement models or any descriptive or prescriptive analysis
- Actively scout new partnerships, concepts, and technologies that can be scaled across portfolio
- Promote data consistency globally to support common standards and analytics
- This role directly feeds into data science stream and needs liasoning with IT
- Partner with PepsiCo functional teams, agencies and third parties to build seamless process for acquiring, tagging, cataloging and managing all media, Nielsen and internal data periodically in structured format as needed for measurement statistical models
- Establish periodic data verification processes to ensure data accuracy
- Engage in R&D to try new data streaming and housing techniques to ensure faster and better answers to business problems
- Build new technologies and algorithms to optimize any business process around creation and maintenance of databases/data lakes running of batch processes for data updation
- Use large data sets to resolve major business and functional issues whisle improving data reliability, efficiency and quality
- Optimize processes implementing new technology and automations
Qualifications
- 3-5 years of experience in the field of data structures, building and managing data lakes
- Past experience in data engineering teams in consulting or ecom/telecom sector
- Experience in relational databases as well as unstructured data streams
- 3+ years of Python or Java development experience,
- Hands-on experience in SQL database design
- Experience with multiple data technologies and concepts such as Airflow, Kafka, Hadoop, Hive, Spark, MapReduce, SQL, NoSQL, and databases like Netezza, Teradata etc
- 3+ years of experience with schema design and dimensional data modeling
- Ability in managing and communicating data warehouse plans to internal clients
- Experience designing, building and maintaining data processing systems
- Experience optimizing larger applications to increase speed, scalability, and extensibility
- Knowledge of predictive modeling, machine-learning tools and techniques
- Educational Background- BE/B TECH/ MS in computer science or related technical field
- Data engineering certification (e.g IBM Certified Data Engineer) is a plus
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