Principal Data Engineer Job Openings by TVS Motor in Bengaluru, Karnataka December 2020

Job Title Principal Data Engineer Job Openings Bengaluru, Karnataka TVS Motor
Pub Date 12 days ago
Company TVS Motor
Location India

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To produce the corporation eyesight and mission happens legitimate; TVS Motor will be wide open up with brand-new position as begin as December 2020. All people who is interested about staffing this vacanct, make sure you take part in this kind of Principal Data Engineer Job Openings recruitment inside . It is suggested for everyone players to arrange almost all required demands because of this task recruitment procedure, for the reason that practice need you to definitely allow acceptable options how the corporation wishes with this placement. If you are that you are one which might fill up the actual specs, you can try to see more information about Principal Data Engineer Job Openings below.

TVS Motor Job Opportunities 2020

Principal Data Engineer Job Openings - India

TVS D&A Team- Company is the third largest 2-wheeler company in
India with a revenue of over 20,000 crore (US$2.9 billion). It has an annual sale of
more than 3 million units and an annual capacity of over 4 million vehicles. TVS
Motor is also the 2nd largest exporter in India with exports to over 60 Countries. A
member of the TVS Group, it is the largest company of the group in terms of size
and turnover.
The Central Data Analytics Team at TVS is a group wide team of Data Scientists
and Engineers supporting the various group companies in their Data Analytics journey. It is organized as a shared advanced capability hub of Deep Learning capabilities. Members of this team work on cutting edge problems with the intend to not only solve for today’s problem at TVS Group companies, but also for creating competitive advantage using Machine learning IP

Responsibilities:
1) Data Architecture:
a. Design and Implement Data Platforms and Infrastructure with considerations around Data storage strategy, Security, Latency, Reliability, Scalability and costs.
b. Provide though leadership on the Data Management and Data Governance for the organization from a Data Architecture perspective ( data granularity, cross application data access design)
c. Design and build an Enterprise Data Architecture and ensure that new applications built follow the EDA and that they conform to existing Data Models (Logical/Physical)
2) Data Modeling and Warehousing :
a. Create Relational and NoSQL data models to fit the needs of a diverse set of data consumers ( Data Analysts, Data Scientists and Business Analysts).
b. Design and Build databases hosting a variety of enterprise data, both on-prem and Cloud, with robust design principles around Availability, Consistency and Performance
c. Design and Implement Data Lakes for Analytics and AI/ML use cases
3) Data Access:
a. Design and Build Database query infrastructure for custom Machine Learning
applications including online and API based queries
b. Design APIs to support Data requirements for Business Intelligence dashboards
4) Data Pipelines:
a. Design and Implement ETL pipelines to ingest data into databases from Transactional systems, streaming sensor data, data files etc.,
b. Design and Implement automated schedules for monitoring data pipelines, data quality and data lineage.
Job Requirements
1) Ability Work closely with Data Analysts, Data Scientists, Business Analysts and
Business stakeholders
2) Comfortable to work in cross-functional team and collaborate with peers during the
project lifecycle
3) Open to travel based on the project and teams locations.
Qualifications
1. BE/B.Tech/BS/MS/PhD in Computer Science or a related field from a Premier institute
2. Strong Preference to candidates with Cloud certifications (Azure)
Experience
1) Minimum 10 years of work experience in Data Engineering with at least 3-4 years
designing data platforms for enterprise-grade applications/ML use cases
2) Start-up experience is a plus
Functional Competencies
1. Proficient in Python, Java and SQL
2. Proficient in using Data Modeling tools ( ER, Logical Data Modeling etc.,)
3. Demonstrated expertise in database design across SQL/NoSQL databases(MySQL,
MongoDB, Time Series DBs, Influx DB etc.,)
4. Expert Level Azure Practitioner, with strong expertise around workflow engines like data factory, EMR and databricks,
5. Machine Leaning and Analytics services in Azure
6. Experienced in DevOps tools such as terraform, Docket, Ansible, Jenkins or other cloud native tools.
7. Should be proficient in using any Git based code versioning system
8. Exposure to ML libraries such as SciKit Learn, Keras, PyTorch etc.,
9. Data Visualization tools like Grafana, Redash, or other open source visualization tools
10. Experience in writing ETL(s) and related services in cloud like ADF or other open source tools.
11. Experience in Stream processing engines like Spark, Kafka, Kinesis etc.,

Salary: Not Disclosed by Recruiter

Industry:Automobile / Auto Anciliary / Auto Components

Functional Area:Analytics & Business Intelligence

Role Category:Analytics & BI

Role:Data Analyst

Key Skills data modelingdata warehousingdata pipeline Desired Candidate Profile Please refer to the Job description above

Education-

UG:B.Tech/B.E.Computers

Company Profile

TVS MOTOR COMPANY LTD

The flagship company of the TVS group, we are among the largest two-wheeler manufacturers in India. With plants in Hosur (near Bangalore), Mysore, Himachal Pradesh and Indonesia, we have the largest portfolio of vehicles and cater to the widest segment of customers. At TVS, we bubble with passion for engineering; engineering that makes you sit up and go wow.. we are looking for like-minded individuals who love to create and live engineering. If you think like us, we’d love to hear from you.

Contact Company:TVS MOTOR COMPANY LTD

Reference Id:940


As one of the leading company in India, TVS Motor offers variety of opportunities for employees to grow and make them as future leaders of the professional and disciplined. TVS Motor also gives a dynamic work environment in order to encourage employees to contribute optimally, and at the same time is able to escalate new skills and knowing through the company programs.

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