Engineering jobs in India

Role Description

Your focus as a Model-based Developer would be on developing simulation models for our electric drives. These models are essential to optimize our electric drives and to develop control algorithms for our motor controllers. Additionally, these models enable our sales department to simulate customer applications and answer customer requests efficiently. Furthermore, you would drive the evolution of cutting-edge technologies to meet the changing needs of our ecosystem.Your responsibilities

* Design, verification, and validation of dynamic simulation models for electric drives in the field of factory automation

* Perform system analysis of electric drive trains (electrical and mechanical domain)

* Modelling and testing the entire electric drive train based on system analysis

* Identify, verify, and validate model parameters using measurement data

* Code generation of simulation models

* Evaluation, interpretation, and documentation of simulation results

* Collaboration with product development and sales teamsOur requirements

* Master's degree in electric engineering or mechatronics

* 5+ years of experience in MATLAB/Simulink

* 3+ years of experience in C/C++ or comparable programming languages

* Sound knowledge in electrical engineering, control engineering, modelling, and simulation methods

* Basic knowledge in modelling dynamic behavior of mechanic systems

* Very good English skills

* Ability to work individually and in an international agile teamWhat we offer

* Challenging work on cutting-edge software technologies with a clear product focus

* Collaborate with our agile Indo-German team

* Dynamic work environment with many personal development opportunities upcoming

* Access to on-the-job and off-the-job learning opportunities

* Flexible, hybrid working arrangements

Looking for technical Architect to work closely with the Product Management, Engineering team and the clients mostly in the US, UK, Canada, and Australia. Some one with advanced knowledge of software architecture to perform tasks associated with developing, debugging or designing software products according to provided design specifications.

We are seeking a talented and motivated Chief Architect/Senior/Staff Engineer Full-stack to join the engineering team. You will play a crucial role in building engaging user experiences for our products and services using technologies & frameworks such as Node.js, React.js, Next.js, Nest.js

Job Description-

For a Data Engineer with skills in Informatica, Data Warehouse - ETL, and AWS, the required skill set typically includes the following:Exp- 8+ years
Location- Mumbai (Andheri East)

1. Informatica

• Proficiency in Informatica PowerCenter, Informatica Cloud, or other relevant Informatica tools.
• Ability to develop and maintain ETL mappings, sessions, and workflows using Informatica.
• Experience in data transformation, cleansing, and validation processes.
• Understanding of Informatica performance tuning techniques to optimize load performance.
• Knowledge of metadata management and data quality tools within the Informatica ecosystem.

2. Data Warehouse & ETL

• Strong understanding of data warehousing concepts like star schema, snowflake schema, dimension tables, and fact tables.
• Proficiency in designing and developing ETL pipelines for data integration.
• Experience with SQL and PL/SQL for querying and managing relational databases.
• Knowledge of data modeling, including dimensional modeling and normalization techniques.
• Ability to manage large-scale data migration projects.

3. AWS (Amazon Web Services)

• Experience with AWS Data Services, including:
  • Amazon Redshift for data warehousing.
  • AWS Glue for ETL jobs.
  • Amazon S3 for data storage and integration.
  • Amazon RDS and Aurora for relational database services.
• Proficiency in AWS Lambda for serverless computing, particularly for data processing.
• Knowledge of IAM (Identity and Access Management) for managing AWS permissions.
• Familiarity with CloudFormation or Terraform for automating infrastructure deployment.
• Experience with monitoring and logging on AWS using CloudWatch or other third-party tools.

4. General Data Engineering Skills

• Strong problem-solving skills and ability to troubleshoot data pipeline issues.
• Knowledge of big data tools like Apache Spark, Hadoop, or Kafka is a plus.
• Familiarity with version control systems like Git.
• Experience with Agile or Scrum development methodologies.
• Understanding of DevOps principles, particularly for CI/CD pipelines involving data engineering processes.

Additional Skills (Optional but Beneficial)

• Python or Java for scripting and automation in data workflows.
• Experience with Docker or Kubernetes for containerizing data applications.
• Knowledge of data governance and data security best practices.

This skill set makes you highly competitive in roles that involve designing and building robust data pipelines, optimizing data warehousing solutions, and integrating AWS cloud services.

The primary responsibility would involve working in the Products Team, building company proprietary, tech-enabled platforms. The incumbent will be expected to take the lead on Product Work streams, working directly with various stakeholders (Internal Teams, Leadership, Client Teams, Engineering Teams, etc). This role presents an excellent opportunity for the right individual to play a key role in product development .

• Bachelor's degree in Computer Engineering, Computer Science, or related discipline, Master's Degree preferred.
• 9+ years of ETL design, development, and performance tuning you are using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment.

This role needs specializing in machine learning or a related field having 4+ years' experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning Responsibilities

• Develop predictive models using supervised and unsupervised machine learning/deep learning
• Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection
• Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets
• Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams
• A self-starter who can align the technology solution with a business goal Qualifications
• 3+ years' experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning
• Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc.
• Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch
• Experience in applying deep learning to NLP
• Computer vision modeling a plus
• Experience with designing, building, and optimizing data and model training pipelines
• Experience in SageMaker or Azure ML Studio a plus
• Experience with cloud-based platforms (AWS or Azure) for solution delivery
• Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence, Git) and Test-Driven Development (TDD)

• Take the lead in reviewing and redesigning SAP systems and processes to improve efficiency, scalability, and user experience.
• Lead the development and implementation of SAP re-design initiatives, including system upgrades, migrations, and process re-engineering.
• Develop and maintain documentation related to SAP re-design activities, including system architecture, technical specifications, and deployment plans.

Job Description-

• Software engineering experience with main focus on Python, SQL and database design, CI/CD, Git and familiarity with SDLC concepts.
• Good to have knowledge on data science skills, including traditional statistical methods, machine learning, Natural Language Processing and Computer Vision.
• Proven experience scaling data workloads using distributed compute (e.g., Spark, Apache Beam, Kubernetes) and exposing services via backend APIs.
• Experience with a cloud environment (GCP, Azure, AWS), especially using distributed-compute resources (BigQuery, Spark, Redshift, HD Insight) and data processing tools (Apache Airflow/Beam, AWS Glue/Kinesis, Azure Data Factory).
• Experience with machine learning model deployment to production and lifecycle management including ,serving and monitoring in cloud environment.
• Strong attention to detail and teamwork skills with a self-motivated approach.

Location - Noida