Sr. Data Engineer

Our Fortune 500 client in United States of America, is looking for an experienced motivated talent to join their innovative team for a Hybrid opportunity. Are you a professional Data Engineer/BI Engineer with a passion for collaborating with multiple teams and an interest in working Hybrid? Don't wait... apply today! Job Description Executes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure; demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capability Builds, tests and enhances data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity Supports the development of feature / inputs for the data models in an Agile manner; Hosts Model Via Rest APIs; ensures non-functional requirements such as logging, authentication, error capturing, and concurrency management are accounted for when model hosting Works with Data Science team to understand mathematical models and algorithms; recommends improvements to analytic methods, techniques, standards, policies and procedures Works to ensure the manipulation and administration of data and systems are secure and in accordance with enterprise governance by staying compliant with industry best practices, enterprise standards, corporate policy and department procedures; handles the manipulation (extract, load, transform), data visualization, and administration of data and systems securely and in accordance with enterprise data governance standards Maintains the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensures high availability of the platform; works with Infrastructure Engineering teams to maintain the data platform; serves as an SME of one or more application BI Engineering Responsibilities Responsible for the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure; creates level metrics and other complex metrics; use custom groups, consolidations, drilling, and complex filters Demonstrates database skill (Teradata/Oracle/Db2/Hadoop) by writing views for business requirements; uses freeform SQLs and pass-through functions; analyzes and finds errors from SQL generation; creates RSD and dashboard Responsible for building, testing and enhancement of BI solutions from a wide variety of sources like Teradata, Hive, Hbase, Google Big Query and File systems; develops solutions with optimized data performance and data security Works with business analysts to understand requirements and create dashboard/dossiers wireframes; makes use of widgets and Vitara charts to make the dashboard/dossiers visually appealing Coordinates and takes necessary actions from DART side for application upgrades (e.g., Teradata, Workday), storage migration, and user management automation; supports such things as Cluster Management and Project Configuration settings Competencies Technical Competencies Agile Development Big Data Management and Analytics Cloud Computing Database Design (Physical) Release Management Minimum Qualifications Bachelor's Degree in Engineering /Computer Science, CIS, or related field (or equivalent work experience in a related field) 5 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) Day To Day Responsibilities • Develop Spark/ BQ data pipelines in GCP DataProc Cluster • Develop data models and schema to support business requirements • Ensure data quality and reliability by developing automated checks in place • Optimize performance and ensure adherence to SLAs • Document and share learnings with the rest of the team Required Skills (top 3 Non-negotiables) • GCP/ Big query Experience – 1 year minimum • Scala/ Python - 3+ years • SQL – 3+ years Preferred Skills (nice To Have) • Exposure to building semantic layer in LookML • GCP Certification • Master’s Degree In related field If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! If you are not available or if this is not the right role at the moment, please share the job description with your friends and let us know if any of them show interest. About ManpowerGroup, Parent Company of:Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.