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Job Summary

We are seeking a highly skilled and motivated Linux Device Driver Engineer with strong C/C++ programming skills and hands-on experience in Linux driver development. The ideal candidate will have a proven track record of working with kernel modules and hardware interfaces, and be comfortable debugging and optimizing low-level system software.

Key Responsibilities

• Porting existing Linux device drivers to new platforms, SoCs, and kernel versions.
• New driver development for custom hardware components and peripherals.
• Debugging kernel and driver-level issues using industry-standard tools.
• Integration & bring-up of hardware with Linux-based systems.
• Collaborate with hardware teams to interpret specifications and enable device functionality.
• Optimize drivers for performance, reliability, and resource efficiency.
• Write clear technical documentation for driver APIs, design, and integration steps.

Required Skills & Qualifications

• Bachelor’s/Master’s in Computer Science, Electronics, or related field.
• 4 to 8 years of professional experience in software development.
• Strong proficiency in C/C++ programming and memory management.
• Hands-on experience with any Linux device driver (character, block, network, USB, PCIe, I2C, SPI, etc.).
• Good understanding of Linux kernel architecture, module programming, and build systems.
• Knowledge of interrupt handling, DMA, and device tree configuration.
• Familiarity with cross-compilation and embedded Linux toolchains.
• Experience with debugging tools (GDB, ftrace, perf, printk, etc.).
• Version control experience (Git).

Preferred Skills

• Exposure to multiple driver types (networking, storage, multimedia, etc.).
• Experience with Yocto, Buildroot, or similar embedded Linux environments.
• Knowledge of real-time Linux and RT patches.
• Scripting knowledge (Python, Bash) for testing and automation.

Soft Skills

• Strong analytical and debugging skills.
• Good communication and collaboration abilities.
• Ability to work independently and take ownership of deliverables.

Skills:

 Design and build web applications with React and TypeScript, ensuring high-quality and responsive

user interfaces.

 Write unit tests and integration tests using Jest to ensure code reliability, performance, and

scalability.

 Ensure performance optimization, code modularity, and maintainability of applications

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Selected intern's day-to-day responsibilities include:

1. Provide a delightful renting experience to customers

2. Help maximize sales at all opportunities and provides a friendly and welcoming environment

3. Achieve individual/team sales targets

4. Communicate effectively with customers to determine needs

5. Demonstrate ways to increase store productivity

6. Apply sales transaction knowledge to process routine discounts, gift certificate sales, special orders, exchanges, refunds, credit vouchers and alterations

7. Participate in all merchandising activities including, but not limited to daily stock maintenance, product transfers, and floor changeovers

8. Maintain a professional and personal appearance consistent with established guidelines

9. Actively support securing company assets through effective loss prevention in compliance with company policies and procedures

10. Accurately enters customer and product information into company backend tools on a day to day basis

11. Ensure ease of customer shopping experience by maintaining replenishment, quality checks, visual merchandising and hygiene standards