Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function.

Primary Responsibilities:

• Design, implement and maintain Hadoop applications across all phases of the Software Development Life Cycle (SDLC)
• Interact with business users and understand the business functionality for new changes or new implementations
• Provide technical support and consultation for Hadoop application and infrastructure questions
• Mentoring less experienced Developers
• Review the work of others before final delivery
• Develop innovative approaches or application optimizations
• Serve as a leader/mentor
• Basic, structured, standard approach to work
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Undergraduate degree or equivalent experience.
• At least 5 - 7 years of experience in building Data warehouse/Data Lakes projects using Big Data technologies
• Strong technical skills on Hadoop, Hive, HBASE, Spark, Python ,Unix, Elastic Search, Any RDBMS database, DevOps Tools
• Ability to analyze, design, implement and maintain Data Lake applications across all phases of the Software Development Life Cycle (SDLC)
• Healthcare domain experience (at least 2 - 4 years)
• Strong analytical and problem-solving skills with innovative ideas to bring value to the business
• Ability to coordinate & work with offshore teams and also with Infra team for any deployments/software upgrades
• Well versed with agile processes and open to work on application support and Flexi working hours