Content Writer

As a Backend Engineer you will be responsible for creating REST APIs which are used to drive the User Interface. Given the nature of the application, these APIs need to be very efficient and high performing. This requires optimizing queries for faster execution and introducing database changes that may be required. We are looking for individuals with great attention to detail, who are genuine, confident, committed and not only passionate about technology, but excited to work in a fun and friendly start-up environment. The ideal candidate will be passionate about technology and GETTING IT DONE.

Responsibilities:

• Develop, test, implement and maintain application software
• Take part in software and architectural development activities
• Debug application issues and helping support respond to client queries
• Participate in application development meetings
• Provide accurate estimates, clearly communicate status of tasks and identification of risks
• Commitment to accomplishing the task at hand and identify the fastest and most reliable way to solve a problem
• Performance tuning of application code at different service levels
• Interact with customers of the application and help address issues reported

Requirements:

• Bachelor's degree in Computer Science or equivalent
• 3+ years of experience with Java and Spring frameworks.
• Having good knowledge in a scripting language like python is a plus
• Experience with Spring and Hibernate/ ORM
• Understanding of relational database and normal forms
• Understanding of NoSQL / RDBMS (Mongo or Postgres) and ability to write optimized and high performing queries
• Strong understanding of Java concurrency, concurrency patterns, experience building thread safe code
• Experience building RESTful web services
• Strong written and verbal communication skills
• Strong interpersonal skills and time management skills
• Strong problem solving and analytical skills
• Experience with GIT as a VCS, Unix based systems
• Experience with NoSQL Database is a plus
• Following are a set of 'good to have' skills React AWS Bitbucket, JIRA

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

• 1-5 years of experience in a full stack software development role.
• Experience in technologies - PHP, Bootstrap, Vuejs and MySQL.
• Knowledge of Cloud services (GCP/AWS), MongoDB and Nodejs is a plus.
• Experience of working in an Agile environment
• Ability to design for scale and performance
• Ability to do peer code reviews
• Solid problem-solving skills

Are you a motivated and knowledgeable engineer ready to make a significant impact in the world of advanced technology? Designnex is on the lookout for a dynamic Design Verification Engineer to join our innovative team. In this exciting role, you will collaborate closely with customers to verify cutting-edge Interface IP (IIP) in their ASIC SoC/systems for groundbreaking next-generation products.

Key Responsibilities:

• Collaborate with customers to verify cutting-edge IPs in their ASIC SoC/systems.
• Provide support throughout the ASIC design cycle, focusing on design verification.
• Engage with the latest industry specifications and applications.
• Work with a diverse, worldwide team and interact with industry experts and leaders.

Key Qualifications:

• Experience: At least 2 years of related ASIC design verification experience. Strong academic backgrounds with relevant knowledge considered.

Skills:

• Experience in IP design verification flow of ASIC/SoC design (e.g., simulation, verification, RTL synthesis).
• Advanced lab experience (e.g., ATE, high-speed interface IP bring-up).
• Strong communication skills and ability to interact with peers from different geographies.
• Proficiency in UVM and SystemVerilog.
• Good to Know: PCIE and CXL specifications and design verification.

Preferred Experience:

• Technical knowledge of Interface IPs such as PCIe, Ethernet Protocols, Specification, Design, Verification, and Implementation.
• Proven track record in meeting tight schedules and handling multiple projects concurrently.
• Experience in various ASIC design cycles, including HIP/SIP integration into high-scale SoCs, design verification flows, physical implementation, SI/PI, and silicon bring-up in the lab.

Join Designnex and be part of a team at the forefront of technological advancements. Apply today and help shape the future of ASIC design and integration!

• We are looking for : Data engineer
• Sprak
• Scala
• Hadoop