Sr Lead / Principal Engineer [FPGA Verification] - For NRI's
at Collins Aerospace
Responsibilities
Develop an effective test suite based on the FPGA requirements.
Testbench architecture with System Verilog and UVM
Develop test environments based on the architecture.
Develop Agents, Drivers, Monitors, Predictors, Scoreboard, and Sequences etc.
Actively participate in a team environment, working with verification,
architecture, applications, and design teams to develop comprehensive
verification plans and address issues.
Verification environment development/update for block level and system level.
Own and drive verification related activities, provide technical support, and
proactively manage tasks to meet schedule goals.
Define and develop effective functional assertions and coverpoints
Debug the design issues and report through appropriate tools
Code Coverage analysis and test case identification for improving the code
coverage.
Perform timing simulations.
Apply techniques and skills required to identify a root cause of a given issue and
very good debugging skills.
Technical guidance to the junior engineers on verification tasks.
Qualifications
Bachelor's/Master's degree in Engineering (Electronics and Communication or
VLSI )
10+ years of Industry experience in development, integration & verification of
ASIC/FPGA.
Protocols – PCIe, SPI, ARINC 429, Mil 1553, Image processing or similar.
Hands on experience in developing System Verilog/UVM verification
environment from scratch.
Hands on experience with Questa or similar advanced simulation tools.
Hands on experience in DO-254 verification process.
Experience in DOORS/Jama will be a plus.
Experience in Video domain will be a plus.

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experience in small cities
Apply on this link : https://uniprep.ai/job/f2e0680c-5408-11f0-bafb-6045bddf2215
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Requirement:
- Must have experience in Real Estate, Commercial leasing or IPC.
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Job Title:- Head of Analytics
Job Location:- Bangalore - On - site
About Qrata:
Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up
We are currently scouting for Head of Analytics
Our Client Story:
Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.
We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.
1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards
2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites
3. A Card for Everything Enable customer purchases, both large and small
4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc
5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections
6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you
What you will do:
We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business
Qualification:
- Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
- Proven experience (7+ years) in leading analytics teams in the credit card industry
- Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
- Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
- Experience with analytics tools such as SAS, SPSS, or Tableau
- Excellent leadership and team management skills, with a track record of building and developing high-performing teams
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- Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience
What you can expect:
1. Develop and implement Analytics Strategy:
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o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business
o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives
2. Lead Data Analysis and Insights:
o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation
o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities
o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies
o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information
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For more Opportunities Visit: Qrata Opportunities.
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1.2. Proactively diagnose problems and envisage long term life of the product focusing on reusable, extensible components.
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2.3. Experience in building infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data
sources to support other teams to run pipelines/jobs/reports etc.
2.4. Experience in Open-source stack
2.5. Experiences of working with RDBMS databases, NoSQL Databases
2.6. Knowledge of enterprise data lakes, data analytics, reporting, in-memory data handling, etc.
2.7. Have core computer science academic background
2.8. Aspire to continue to pursue career in technical stream
3. Optional Skill Required:
3.1. Understanding of Big Data technologies and Machine learning/Deep learning
3.2. Understanding of diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
3.3. Understanding of Cloud Platform: AWS, Azure, GCP, etc.
3.4. Experience in BFSI domain is a plus.
4. PREFERRED SKILLS
4.1. A Startup mentality: comfort with ambiguity, a willingness to test, learn and improve rapidl
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Skills and Experience:
Qualifications:
- BE/B-Tech/MBA in any related field.
- Experience: 5+ years
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Personal Qualities and Behavior traits:
- Be a good team worker demonstrating loyalty and commitment to the organization and team members.
- Good organizational and communication skills and excellent attention to details
- Interact with individuals to facilitate information and feedback.
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