Data Architect - Thiruvananthapuram, India - Nissan

Nissan

Verified Company

Thiruvananthapuram, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Nissan is a pioneer in Innovation and Technology.

With a focus on Mobility, Operational Excellence, Value to our Customers and Electrification of vehicles, you can expect to be part of a very exciting journey here at Nissan.

Nissan is going after a massive Digital Transformation backed by leading technologies across the organization globally. We are committed to building a diverse, entrepreneurial organization, and our current team is a strong evidence of that. Our people are what drive the business forward.

At Nissan Digital, you will be part of a dynamic team with ample opportunities to grow and make a difference.

The Role:

Data architect will own, optimize and maintain conceptual, logical and physical data models.

Exposure to Sales / Finance, Manufacturing, Quality, Engineering, Supply Chain, Finance, After-sales / Credit and Digital workplace Domain would be preferred.

Responsibilities:

Data Architect need to architect, design / model and implement data lake / data warehouse and business intelligence solutions using various technologies

The primary responsibilities include:

Own and drive the architecture for a project / product
Choose the right architecture that would solve the business problems
Lead a team of technical people, mentor and guide them during the solution
Communicate and translate the technical solution to the team and other stakeholders
Drive reuse initiatives and promote reuse culture within the team
Design and implement various components of data pipeline that include data integration, storage, processing and analysis of business data
Analyze business requirements and derive conceptual model by identifying entities and the relationship between them. Identify attributes and create logical and physical models
Proficient in business process modelling, process flow modeling, data flow modeling
Proficient in creating flowcharts, process flows and data flow diagrams
Develop complex modules and proof of concepts
Lead and drive performance optimization efforts
Define standards and guidelines for the project and ensure team is following those
Assist in setting strategic direction for database, infrastructure and technology through necessary research and development activities
Automation should be a key driver and the development & testing should be automated through frameworks / tools
Monitoring performance and advising any necessary infrastructure changes through capacity planning & sizing exercises
Work with various vendors like cloud providers and consultants to deliver the project
Define non functional requirements and make sure that the solution adhere to the requirements
Define best practices of agile & DevOps while implementing solutions

Skills and Qualifications:

Excellent understanding of distributed computing paradigm
Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write queries
Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:

Data integration

ETL tools like Talend and cloud Ingestion mechanisms.

Data modelling

Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage

Data visualization

Tools like Tableau

Big data

Hadoop ecosystem, Distributions like Cloudera / Hortonworks, Pig and HIVE (good to have)

Data processing frameworks

Spark & Spark streaming (good to have)
Handson experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required
You should have mandatory knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc.
Experience in cloud data ecosystem, specifically with AWS. Experience in AWS data components like EC2, S3, Redshift & RDS, managed services like Aurora & Athena are desirable
Demonstrate strong analytical and problem solving capability
Good understanding of the data ecosystem, both current and future data trends
10+ years of experience in the data engineering space with at least few complex & high volume data projects as an architect is mandatory

Drive your career forward and join the company leading the technology and business evolution in the automotive industry.

Trivandrum Kerala India