Data Scientist

Job Description: Data Engineer

Experience: Over 4 years

Responsibilities:

-       Design, develop, and maintain scalable data pipelines for efficient data extraction, transformation, and loading (ETL) processes.

-       Architect and implement data storage solutions, including data warehouses, data lakes, and data marts, aligned with business needs.

-       Implement robust data quality checks and data cleansing techniques to ensure data accuracy and consistency.

-       Optimize data pipelines for performance, scalability, and cost-effectiveness.

-       Collaborate with data analysts and data scientists to understand data requirements and translate them into technical solutions.

-       Develop and maintain data security measures to ensure data privacy and regulatory compliance.

-       Automate data processing tasks using scripting languages (Python, Bash) and big data frameworks (Spark, Hadoop).

-       Monitor data pipelines and infrastructure for performance and troubleshoot any issues.

-       Stay up to date with the latest trends and technologies in data engineering, including cloud platforms (AWS, Azure, GCP).

-        Document data pipelines, processes, and data models for maintainability and knowledge sharing.

-       Contribute to the overall data governance strategy and best practices.

Qualifications:

-       Strong understanding of data architectures, data modelling principles, and ETL processes.

-       Proficiency in SQL (e.g., MySQL, PostgreSQL) and experience with big data querying languages (e.g., Hive, Spark SQL).

-       Experience with scripting languages (Python, Bash) for data manipulation and automation.

-       Experience with distributed data processing frameworks (Spark, Hadoop) (preferred).

-       Familiarity with cloud platforms (AWS, Azure, GCP) for data storage and processing (a plus).

-       Experience with data quality tools and techniques.

-       Excellent problem-solving, analytical, and critical thinking skills.

-       Strong communication, collaboration, and teamwork abilities.

Responsibilities

• Work with large and complex blockchain data sets and derive investment relevant metrics in close partnership with financial analysts and blockchain engineers.
• Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various crypto assets.
• Build a strong understanding of existing metrics used to value various decentralized applications and protocols.
• Build customer facing metrics and dashboards.
• Work closely with analysts, engineers, Product Managers and provide feedback as we develop our data analytics and research platform.

Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science)
• 3+ years experience with data analysis and metrics development
• 3+ years experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• 2+ years experience writing SQL queries
• 2+ years experience scripting in Python
• Demonstrated curiosity in and excitement for Web3/blockchain technologies

Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Mandatory Skills:

• Strong in SQL development
• Hands-on at least one scripting language - preferably shell scripting
• Development experience in Data warehouse projects

Opportunities:

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

• Experience implementing large-scale ETL processes using Informatica PowerCenter.
• Design high-level ETL process and data flow from the source system to target databases.
• Strong experience with Oracle databases and strong SQL.
• Develop & unit test Informatica ETL processes for optimal performance utilizing best practices.
• Performance tune Informatica ETL mappings and report queries.
• Develop database objects like Stored Procedures, Functions, Packages, and Triggers using SQL and PL/SQL.
• Hands-on Experience in Unix.
• Experience in Informatica Cloud (IICS).
• Work with appropriate leads and review high-level ETL design, source to target data mapping document, and be the point of contact for any ETL-related questions.
• Good understanding of project life cycle, especially tasks within the ETL phase.
• Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
• Excellent communication and presentation skills.
• Effectively worked on the Onsite and Offshore work model.

About Toyota Connected

If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us.

About the Team

Toyota Connected India is hiring talented engineers at Chennai to use Deep Learning, Computer vision, Big data, high performance cloud-based services and other cutting-edge technologies to transform the customer experience with their vehicle. Come help us re-imagine what mobility can be today and for years to come!

Job Description

The Toyota Connected team is looking for a Senior ML Engineer (Computer Vision) to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly energized, fast-paced, innovative and collaborative startup environment.

What you will do

• Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems

• Develop image analysis algorithms and deep learning architectures to solve Computer vision related problems.

• Implement cutting edge machine learning techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch.

• Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations

• Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch

• Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users

• Be hands-on where required and lead from the front in following best practices in development and CI/CD methods

• Own delivery of features from top to bottom, from concept to code to production

• Develop tools and libraries that will enable rapid and scalable development in the future

You are a successful candidate if

• You are smart and can demonstrate it

• You have 8+ years of experience as software engineer with minimum 3 years hands-on experience delivering products or solutions that utilized Computer Vision

• Strong experience in deploying solutions to production, with hands-on experience in any public cloud environment (AWS, GCP or Azure)

• Excellent proficiency in Open CV or related computer vision frameworks and libraries

• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)

• Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning. And experience in delivering value using these in real production environments for real customers

• You have deep proficiency in Python and at least one other major programming language (C++, Java, Golang)

• You are very fluent in one or more ML tools/libraries like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these

• We think the knowledge acquired earning a degree in Computer Science or Math would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time

What is in it for you? 

• Top of the line compensation!

• You'll be treated like the professional we know you are and left to manage your own time and work load.

• Yearly gym membership reimbursement. & Free catered lunches. 

• No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day.

• Opportunity to build products that improves the safety and convenience of millions of customers. 
Our Core Values

• Empathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.
• Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers
• Innovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.
• Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success!
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