Data Ingestion Lead

Job Summary

The Data Ingestion  Lead should be able to build and lead a diverse team of individuals with a mix of Big data, Infrastructure, developers and backend engineers. The candidate should be able to operate at the intersection of Infrastructure, Big Data, Storage, & Online Services and explore all aspects of Data ingestion that collects, stores and serves a large amount of information.

You will have the opportunity to make a big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.

Responsibilities

• Support stakeholders across the portfolio using agile ROI/KPI initiatives that will drive improvements
• Identify and incubate best-in-class external partners to drive delivery on projects
• Work on the development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure
• Build a professional and reliable team
• Run the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver.

What you will bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

• Ability to influence the business agenda and make recommendations to senior leaders
• Leadership experience in best-in-class analytics practice roles
• Leadership experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in the usage of analytics techniques to create business impacts
• Proven people leadership experience

Requirements

• Strong leadership and management skills
• Strong communication and interpersonal skills
• Strong analytical and problem-solving skills and passion for product development
• Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders
• Professional attitude and service orientation; team player
• Ability to translate business needs into a potential analytics solutions
• Strong work ethic; ability to work at an abstract level and gain consensus
• Ability to build a sense of trust & rapport to create a comfortable & effective workplace
• Configure and develop job using Talend and Collibra
• Program language knowledge like Python, and/or Java
• Experience working with a variety of source systems (ERP, CRM, custom, on-prem, etc.) and types (databases, files, APIs, SaaS, etc.)
• Hands-on experience in BI and Data Warehousing, with an emphasis on ETL / data ingestion in a cloud DW / data lake environment
• Knowledge of distributed computing platforms like Kafka, Spark etc. is a plus.
• Deep understanding of Data Analytics, Big Data, Storage, Compute & network infrastructures
• Lead multiple data ingestion projects and products to maintain and develop applications for both enterprise releases and smaller maintenance releases
• Work closely with the business team, 3rd party vendors, and other internal IT teams to deliver projects on time
• Lead framework-based data ingestion pipelines development to ingest data from a variety of sources into the cloud platform
• Manage the data ingestion framework to easily extract and load data from various sources into data processing tools, data integration software, and cloud storage
• Influence and guide strategy, execution and innovation for all aspects of data analytics
• Experience in taking proactive actions to identify typical problems and issues during the normal course of work and solve them with minimum guidance
• Define & design a large scale distributed system that can be used for interactive as well as batch use cases
• Develop cross-org partnerships with peer organizations; collaborate and address their data requirements
• Engage with the open-source community to understand existing work and influence the future roadmap
• Ability to interpret and manipulate large data sets, data storage, ETL and data modelling
• Proven experience in a Data Analysis role with programming skills in SAS and Python
• Good hands-on experience with Data warehouse implementation
• Translate customer and technical requirements into detailed technical plans, architecture, and design
• Knowledge of CPG customer planning, supply chain planning, delivery and collection processes as well as the data sources utilized across different functions and BUs
• Evaluate upcoming open-source technologies for distributed computing and integrate them such that our platform improves and scales better
• Interact with infrastructure, business and data teams to produce client requirements for next-generation product development