Lead Data Engineer

Big Data Platform Software Engineer

Lead, architect, design and develop secure, scalable, high-performance and reliable and cost-effective Big Data platform software and services in a Multi-Cloud environment. Provide technical leadership in Data Engineering practices. Partner with architecture, Infosec, and development teams across the entire enterprise to establish a strong relationship and trust for prioritizing and delivering projects on time and with a high degree of quality. Establish patterns for re-use, standards and best practices for Data Engineering & Analytics such that data timeliness and quality are maximized. Partner with the Audit, Compliance and Governance leaders to ensure data is secured and conforms to the guidelines laid out by the organization and the industry. Partner with cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities related to Big Data Platform. Interface with cross functional leaders and represent point of views to drive measurable success. Drive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals. Participate in code reviews and mentor junior level developers at onsite/offshore to make sure code/deployment standards are met.

Qualifications: Bachelor’s or Master’s in computer engineering, computer science or related area. 7+ years proven experience in developing and deploying data pipelines, preferably in the Cloud; Azure and Snowflake experience is a plus. 5+ years proven experience in building data warehouse platforms in dealing with star & snowflake schemas as well as slowly changing dimensions. 4+ years of strong experience with SQL and stored procedures. 2+ years of proven expertise in creating pipelines for real time and near real time integration working with different data sources - flat files, XML, JSON, Avro files and databases. 1+ years of experience with at least one programming language like Python, Java or Scala. Knowledge on Big Data platforms and applications is a plus. Databricks and Delta table knowledge is a plus. Extensive experience in data transformations for Merchandising business use cases will be a plus. Knowledge for handling exceptions and automated re-processing and reconciling. Passion for Data Quality with an ability to integrate these capabilities into the deliverables. Marketing experience would be a plus. Proficiency in techniques for slowly changing dimensions. Knowledge of Jenkins/Github for continuous integration and End-to-End automation for application build and deployments. Ability to integrate into a project team environment and contribute to project planning activities. Experience in developing implementation plans and schedules and preparing documentation for the jobs according to the business requirements. Lead ambiguous and complex situations to clear measurable plans. Proven experience and ability to work with people across the organization and skilled at managing cross-functional relationships and communicating with leadership across multiple organizations. Proven capabilities for strong written and oral communication skill with the ability to synthesize, simplify and explain complex problems to different audiences.