Big Data Architect (offline)

The key project deliverables – systems that bridge the gap between several domains:

- Peripheral device control
-Device drivers
- Hardware sequencing safety systems monitoring, and real-time data processing

Requirements:

- Total of 12+ years of development/design/architecting experience with a minimum of 5 years experience in Big Data technologies on-prem and on cloud.
- Experience with architecting, building, implementing and managing Big -
- Data platforms On Prem or On Cloud, covering ingestion (Batch and Real time), processing (Batch and Realtime), Polyglot Storage, Data Analytics and Data Access
- Good understanding of Data Governance, Data Security, Data Compliance, Data Quality, Meta Data Management, Master Data Management, Data Catalog
- Proven understanding and demonstrable implementation experience of big data platform technologies on cloud (AWS and Azure) including surrounding services like IAM, SSO, Cluster monitoring, Log Analytics etc
- Experience working with Enterprise Data Warehouse technologies, Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
- Strong Experience implementing ETL/ELT processes and building data pipelines including workflow management, job scheduling and monitoring
- Experience of Nifi, SOLR, and HBase is a plus
- Experience building stream-processing systems, using solutions such as Apache Spark, Kafka etc…
- Experience with Spark technology is a must
- Experience with Big Data querying tools
- Strong experience with data modeling and schema design
- Strong SQL programming background
- Excellent interpersonal and teamwork skills
- Experience to drive solution/enterprise level architecture, collaborate with other tech leads
- Strong problem solving, troubleshooting and analysis skills
- Experience working in a geographically distributed team
- Experience with leading and mentorship of other team members
- Good knowledge of Agile Scrum
- Good communication skills
- Advanced English level

Responsibilities

Work directly with the Client teams to understand the requirements/needs and rapidly prototype data and analytics solutions based upon business requirements
Architect, Implement and manage large scale data platform/applications including ingestion, processing, storage, data access, data governance capabilities and related infrastructure
Support Design and development of solutions for the deployment of data analytics notebooks, tools, dashboards and reports to various stakeholders
Communication with Product/DevOps/Development/QA team
Architect data pipelines and ETL/ELT processes to connect with various data sources
Design and maintain enterprise data warehouse models
Take part in the performance optimization processes
Guide on research activities (PoC) if necessary
Manage cloud based data & analytics platform
Establishing best practices with CICD under BigData scope