PRINCIPAL DATA ENGINEER

u003cp\u003e\u003cstrong\u003eWhat You'll Do\unbsp;\unbsp;\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eTranslate the business requirements into technical requirements\u003cbr\u003eHands on experience on logical and physical data modeling.
Experience on Teradata data models will be a big plus\u003cbr\u003eUnderstand business requirements and translate them in technical specifications, tasks for development teams.
u003cbr\u003eDesign data ingestion pipelines and ETL processing, including low-latency data acquisition and stream processing\u003cbr\u003eMonitoring performance and advising any necessary configurations \uamp; infrastructure changes.
u003cbr\u003eCreate and maintain technical documentation that is required in supporting solutions.
u003cbr\u003eUtilize expertise within their domain to communicate architecture fit, implementation capabilities, risk factors, and related details to facilitate system implementation\u003cbr\u003eDefine the implementation blueprint for a system at the Enterprise, Program, or Solution level\u003cbr\u003eDesign and develop architecture for integration of a specific Data Architecture system component into the client’s Analytic Ecosystem.
u003cbr\u003eDefine the client’s architecture at the Solution (Physical) and Deployment Layers of the analytic architecture.
u003cbr\u003eProvide direct support to the Solution Architect and the solution delivery team.
u003c/p\u003e \u003cp\u003e\u003cstrong\u003eWho You'll Work With\unbsp;\unbsp;\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eWork with Teradata project managers to scope projects and develop a statement of work, project plan, and risk analysis.
u003cbr\u003eProvide domain thought leadership and actively participate in the design, implementation, and roll-out efforts.
u003c/p\u003e \u003cp\u003e\u003cstrong\u003eMinimum Requirements\unbsp;\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eB.
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/ M.
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in Computer Sciences or related field with minimum four-years of experience\u003cbr\u003e10+ years' experience in technical leadership roles - Architecture, Pre-Sales, Delivery and Operations\u003cbr\u003eHands on experience with one or more ETL tools like Informatica, DataStage\u003cbr\u003eStrong RDBMS concepts and SQL development skills\u003cbr\u003eGood knowledge of Big Data querying tools, such as Pig, Hive, Spark, Oozie and Impala\u003cbr\u003eExperience with NoSQL databases, such as HBase, Cassandra, MongoDB will be a plus\u003cbr\u003eExperience with any of the following Hadoop distributions.
Cloudera/MapR/Hortonworks\u003cbr\u003eExperience in designing and implementing data solutions on any one of cloud platforms (Azure, AWS or Google).
u003cbr\u003eMust have technically lead end – end data warehouse project(s) from acquisition to access layer\u003cbr\u003eGood communication and analytical skills\u003cbr\u003eAbility to work in a dynamic and collaborative team environment, demonstrating excellent interpersonal skills\u003cbr\u003eProven experience in Enterprise and Data Architecture, Solution Engineering experience, data modelling, Pre-Sales /Business Development, and Operations\u003cbr\u003eDemonstrated skills in Team Leadership, Coaching, Practice Development, Competency building\u003cbr\u003e\u003cbr\u003e\u003c/p\u003e \u003cp\u003e\u003cstrong\u003eWhat You'll Bring\unbsp;\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eStrong background in solution architecture in any one of industries - telecommunication, banking, retail or manufacturing.
u003cbr\u003eMust be self-motivated, analytical, detail oriented, organized and pursue excellence on all tasks\u003cbr\u003eKnowledge of industry best practices, future trends and design patterns\u003cbr\u003eExcellent communication and presentation skills, both verbal and written\u003cbr\u003eAbility to solve problems using a creative and logical mind set\u003cbr\u003eAbility to articulate the value of technical capabilities to C-suite audience\u003c/p\u003e \u003cp\u003eThis role is responsible for information gathering, analysis and design of data warehouse solutions for company-wide application and managing large sets of structured and unstructured data.
The role requires deep understanding in data integration solutions and implementation.
The candidate will be expected to analyze complex customer requirements and work with data warehouse architect to gather, define and document data solutions and its implementation.
Information/Domain Architect will be expected to have a broad understanding of the data acquisition, integration, data modeling domains.
Be able to weigh the pros and cons of different architectures and approaches.
Experience of Telecommunication systems and data warehouse solution implementation is preferred.
u003c/p\u003e