Description

7-10 years experience with a bachelors degree

Job Description Core Responsibilities

·       Crafts technical documentation (internal) using understanding of internal business areas and processes as well as solid grasp of database design, data manipulation, ETL, implementation, information storage & retrieval and data flow & analysis.

·       Designs and architects databases and applications and leads each project through implementation, using in-depth understanding of product life cycle and industry technical knowledge.

·       Preemptively recognize and resolve technical issues applying knowledge of policies and processes. Recognize and identify implications of changes on projects upstream.

·       Solves problems using an aerial view (architectural perspective) and provides recommendations to improve products. Shares knowledge such as trends, aggregate, quantity volume regarding specific data sources.

·       Acts as a domain expert in one or more technical areas; such as data architecture, data engineering or data manipulation within big data systems like Hadoop (Kafka, Spark, Ambari and Hawk), SQL and HiveQL. Uses fluency in primary technology and proficiencies in one or more secondary technologies to support adoption of additional or new technologies' by the team.

·        Serves as a team leader on projects spanning different engineering disciplines within the organization and acts as a resource for colleagues with less experience. Presents to broader senior leadership team. Understands other business units and how they affect the team and work. Acts as a liaison between business owners and technical associates to ensure the data collected and processed is both practical and relevant to the end goals.

·       Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables to develop relational models. Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality

Key Skills

Education

Any Graduate