Engineer jobs in India

Qualifications
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Bachelor's or master's degree in computer science, or a comparable field.
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More than 4 years of experience working in the field of DevOps engineering.
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Interest in developing and automating CI/CD and data pipelines for Big Data and analytical / AI solutions.
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Three to five years of experience with DevOps tools and methods (e.g. GitLab, Container services as AWS ECR, CICD)
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Cloud development skills in AWS services as Lambda, S3, DynamoDB, ECR and Stepfunctions including experience with infrastructure as code with Terraform (at least two years of experience)
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Experience in working with other cloud services (Azure/Google) advantageous.
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Programming skills in Python and knowledge about pipeline configuration in scripting languages like bash required (at least one year).
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Experience with data engineering tools and patterns incl. solid knowledge of SQL.
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Knowledge about deployment of frontend applications and development skills with JavaScript libraries or frameworks like React beneficial.
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Analytical skills, team spirit, holistic thinking, and independent work (especially self-learning) required.
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Customer-orientation and quality-consciousness
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Good English skills required due to standard communication language in the team.
Job Description:
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Work in a highly innovative development team dedicated to implementing a new generation of Big-Data Cloud and AI applications supporting the innovation and the digitalization of the company.
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Evaluate and implement modern techniques and services to support the Big Data, AI, and business automation journey of the Festo companies worldwide.
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Design, implementation and operation of CICD pipelines based on the requirements of an international team of cross functional developers.
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Consultant the team and enable the deployment of backend and frontend applications and support their application lifecycle management.
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Development and operation of data pipelines and platform services including the integration and automation under the strict consideration of data security and governance aspects.

Seeking a Lead Engineer to help us manage, maintain, support, and monitor a highly reliable, scalable, and available eCommerce Cloud platform. This person will help us to push new features and bug fixes from development to production in a predictable, automated, low risk and agile manner.

This role involves leading a highly skilled technical team, and driving software development initiatives for a major player in the media and agency industry.

We are looking for an Engineer II to join our growing team of data experts. This role is responsible for developing, maintaining and optimizing data pipelines, delivering data timely to our cross-functional teams and support reporting and analytics.

Design-build-maintain the Starburst platform, Starburst, DevOps. Proven experience with Starburst or similar distributed SQL query engines (e.g., Presto/Trino).

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)

Data Engineer (Infomatica, Data warehouse - ETL, AWS) and Technical Account Manager roles.

As a Principal Engineer Back end, you will lead the backend architecture to design, develop and implement innovative solutions for complex business operations in the Traveltech domain

* Perform penetration testing of Festo products.

* Assist in creating and maintaining test plans and checklists.

In the role of Fullstack Lead Engineer, you will be responsible for leading and managing a team of skilled engineers to deliver high-quality software solutions for our Life Science and Veterinary departments.

Join an ambitious Advanced Robotics team which is dedicated to pushing the boundaries of robotics technology. In this role, you will play a crucial role in developing advanced software solutions for robotic systems. You will implement software algorithms for perception, localization, mapping, and navigation tasks.

* Develop and execute the strategic vision for AI projects within the team, ensuring alignment with company objectives and industry needs.

• Contribute to growing engineering capabilities across Software, and Platform Engineering
• Experience working with modern application architecture methodologies
• Proven track record of "hands-on" software engineering (e.g. Programming, Scripting, Markup Languages), with a preference towards web technologies (e.g. TypeScript, JavaScript, Node, Next.js/React etc.)

The Lead Software Engineer will be responsible for leading software development teams to deliver projects that span across one or more business units while managing resources, schedules, and financials adhering to the project's success criteria.

• Operation and maintenance of umbrella monitoring solution and central monitoring functions e.g. event management, alerting or service-tree
• Integration of existing monitoring environments e.g. SAP Focused Run, VMWare VCenter or Microsoft SCOM
• Orchestrate event-triggered automated actions e.g. health scripts

Looking to hire a mechanical design engineer for a leading filtration design and manufacturing company

The candidate will architect and develop new generation software core software solution for automotive grade real-time ECUs. Core software typically includes middle layer, lower layer embedded software (BSP drivers), RTOS, bootloader, cybersecurity stack for electronic control unit (ECU).

As a Solutions Engineer - Support, you will be a key member of our
customer-facing team, providing technical assistance and driving customer
success for our enterprise clients using Zeotap's SaaS platform.

In this role,
you'll focus on resolving complex issues, ensuring seamless integrations,
and providing expert support for our SaaS solutions.

Experience in Java, J2EE, JPA, and Rest API.Experience working with Continuous Integration and Deployment in a DevOps-oriented product development environment, along with familiarity with modern MML.

As a Senior Semantic Software Engineer, your focus would be to leverage and enhance already existing cutting-edge solutions. Furthermore, you would drive the evolution of the available solutions to meet the changing needs of our ecosystem.

Your Responsibilities

• Architecture and Design: Work with software engineers and architects to make cloud architecture decisions, ensuring scalability, security, and performance of the platform.
• Process Improvement: Review and optimize cloud-related processes, ensuring smooth transitions and continuous improvement.
• Security Implementation: Evaluate, discuss, and implement security requirements, ensuring compliance with best practices for cloud applications.
• Concept Creation: Design cloud concepts focusing on scalability, security, and performance to meet business requirements.
• Documentation: Create clear and maintainable documentation to ensure transparency, effective knowledge transfer, and ease of operation in the cloud environment.

what we are looking for

Technical

• Cloud Platforms: Deep experience with AWS services, including Amazon Elastic Container Registry (ECR), Amazon RDS with Aurora Serverless, Amazon S3, and Amazon ECS with AWS Fargate.
• CI/CD & Automation: Experience with GitLab CI, EC2-based runners, and automation tools such as Renovate Bot and Semantic Release.
• Security: Knowledge of AWS Secrets Manager, AWS Systems Manager, and secure access configurations for cloud environments.
• Containerization & Orchestration: Hands-on experience with Docker, ECR, ECS, and container orchestration tools.
• Monitoring & Observability: Familiarity with Grafana, Prometheus, and OpenTelemetry for performance monitoring and metric capturing.
• Database & Storage: Experience with MySQL on Amazon RDS, Aurora Serverless, and file storage solutions like Amazon S3.
• Scripting & Configuration Management: Familiarity with AWS Lambda, Liquibase for schema management, and experience with configuration management for scalable cloud environments.
• Hands-on experience with software solutions in cloud environments.

Personal

• Require 7+ years of technology experience with trending technologies.
• At least 5+ years of experience in design and development of software, experience with large multinational organisations is highly preferred.
• Excellent communication and collaboration skills
• Strong analytical and problem-solving abilities.
• Proactive cost reduction, automation, and improvements in process efficiency.
• Ability to work independently and as part of a team.
• Highly motivated and results oriented.
• High Energy, able to motivate, collaborate and to generate followership.
• Strong communication skills, with demonstrated capability in engaging a large, distributed organisation.

• The Electrical Engineer will be responsible for the review of detailed engineering designs in compliance with standards & CEA technical regulations of large Wind & Hybrid Plants ensuring quality & safety.
• Design & Engineering of Substation up to 220kV. (Preparation/ Review of data sheet, SLD & layout, selection of equipment, Earthing system, Relay & Protections, SAS architecture, design basis etc.)

As the Lead Software Engineer in our Research & Innovation team, you'll play a strategic role in establishing and driving the technical vision for industrial AI solutions. Working closely with the Lead

• Lead Civil Engineering for Large Utility Scale Renewable Energy projects
• Opportunity to grow and achieve your full potential within the organization

Oversee the design and development of software solutions and manage a high-performing team to ensure alignment with company objectives.

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 Data Integration Engineer will lead initiatives to integrate, validate, and optimize data pipelines for clinical research using real-world data, ensuring high data quality and compliance. The role involves working with internal teams and external partners, leveraging technologies like AWS, SQL, and Python, to support healthcare research and improve medical outcomes.

Manage and drive the performance of a team of engineers to deliver high-quality technological solutions. Lead the development and enhancement of a robust platform for infrastructure.

The Power System Engineer will be responsible for the analysis, design, and optimization of power systems SLD with respect to power quality of power plant. This role also involves troubleshooting and improving existing power systems for efficiency and reliability.

This role will oversee the development and maintenance of digital banking technology solutions, driving innovation and transformative changes in the domain of Java Spring Microservices.