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Job id : Key Responsibilities / Duties Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilities Supports the data science community by enabling data availability in environments that provide advanced analytical capabilities Maintains a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define data strategies Assist in the decision-making process related to the selection of software architecture solutions Implement architectures to handle web-scale data and its organization Execute strategies that inform data design and architecture partnering with enterprise standard Build robust data pipelines on public Cloud using AWS Kinesis, Kafka, Lambda or other technologies Assist in creating documents that ensure consistency in development across the online organization. Implements and improves core software infrastructure Deep expertise in SQL language, Python, Hadoop ecosystem and/or Spark ecosystem. Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments Develop and maintain business reporting, ensuring reliability and performance, delivery of performance management tools (such as control charts and scorecards), readiness and adoption of data w/in the organization Consolidate, standardize and control changes to capacity management data and metric definitions, ownership, accountability and taxonomy to ensure alignment in understanding Serve as strong advocate to improve analytical capability across the organization Communicate with various business areas and to gather and prioritize their business requirements Support various reporting and BI solutions (Tableau, Power BI, Salesforce Einstein) Manage application and data integration platforms (Informatica, Talend) Manage the full life cycle of development/reporting/integration projects: planning, design, develop, testing and rollout Manage solution providers, define sourcing approach and manage the providers Create and manage data, applications and technology architecture documentation and design artifacts Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement Gain adoption of architecture processes, standards and procedures Work Experience / Knowledge 7+ years of experience in data modeling, data warehousing, and big data architectures 5+ years of experience in a data engineering role Proficient in application/software architecture (Definition, Business Process Modeling, etc.) Strong analytics and reporting skills � hands on experience in BI Tools like Tableau, Power BI, Salesforce Einstein Deep expertise in (at least one) SQL language, Python, Hadoop ecosystem and/or Spark ecosystem. Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments The role will be responsible for providing innovative operational solutions and best practices Advanced knowledge in SQL/Hive, Spark, NoSQL, (Java/Python is a plus Strong programming skills and ability to utilize a variety of software/languages/tools; e.g., Spark, R, Python, Scala, Java, Hive, SQL, SAS, Tableau, etc. Experience with microservice development, Docker, Kubernetes Develop software to run on cloud native big data infrastructure built on AWS using Spark, Lambda, S3, and other cloud native services Designs and develops complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insight 5+ years of experience in data integration platforms (Informatica, Talend) Hands on experience in self-service data preparation tool like Alteryx Experience using GitHub, Bit Bucket, or other code repository solution DevOps experience is a plus See job URL for more information and EOE statement. For mor
