Engineer jobs in India

The Analyst will be providing support to the European real estate private equity team. While the role will be based in Delhi, India, the Analyst will be an integral part of the European real estate PE team that is based in London and will participate in team meetings, portfolio reviews, placement and investment committee meetings etc.

The Project Engineer will be responsible for managing various industrial and manufacturing projects from inception to completion, ensuring timely delivery and quality standards.

• Oversee the Electrical design and engineering of renewable energy projects while ensuring their efficiency and compliance with industry standards
• Manage a small team of Engineers at the Global Tech Centre

The Technical Support Head IMS is responsible for leading L2 engineers responsible for Proactive monitoring & trouble shooting faults related to SDWAN, WiFi, Security and Data Center networking products like Leaf/Spine Switches, Load balancers, DDOS, Routers to provide exceptional technical support and customer service across all channels. This role also entails ensuring a seamless implementation of IMS network solutions to meet business objectives.

This role would involve leading the execution of PE, M&A, and ECM deals in the FS and Tech sectors while actively participating in business development to secure new mandates. The position requires strong financial acumen, with experience in equity/debt transactions, and offers significant opportunities for professional growth and sector expertise.

We are seeking a seasoned professional to head the Talent Acquisition and the HRBP for our client, a leading and PE backed NBFC organization

The position is within the Private Funds Finance team of the Private Equity group. Reporting to the Manager, Private funds of Brookfield Private Equity ("Brookfield PE") in India, the Senior Analyst will be involved at various depths with financial reporting, performance measurement, valuations, capital calls/distributions, and investor relations.

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

As Manager, you will play a key leadership role in the strategy and execution of automated evidence-generating studies.

You will lead a team of clinical data analytics engineers through the design and implementation of data pipelines to acquire, process, and review complex clinical data from sites participating in clinical studies.

JD - Software Engineer
Should be a team player with a keen eye for detail and problem-solving skills.
Primary responsibility is to build programs as per the goal including implicit needs with
required efficiency.
Responsibilities:
● Looking for an individual contributor with hands-on development experience.
● Writing and implementing programs that work as per specifications
● Ensure they maintain a good balance between efficiency and readability.
● Unit testing and evaluating new programs.
● Identifying areas for modification in existing programs and subsequently developing
the modifications/changes.
● Developing quality assurance procedures.
● Troubleshoot, debug and upgrade existing software.
Qualification:
● Bachelor's degree in computer science or higher.
Required Skills:
★ 4 to 8 years of working experience in the software industry.
★ Good hands-on experience of GoLang & React UI.
★ Knowledge of coding languages (e.g. Java, JavaScript) and frameworks/ systems (e.g.
Git/SVN).
★ Familiarity with databases such as Oracle, Ms-SQL, PostgreSQL or MySQL
★ Experience working with container technology.
★ The ability to learn new technologies quickly.
★ An analytical mind - should enjoy problem solving
★ Good communication skills - both written and verbal.
★ Attention to detail and desire to probe further into data

Job Summary:We are seeking a highly skilled and experienced Data Analyst/Scientist to join our team. The ideal candidate will have a strong background in data analysis and programming, with expertise in both Python and SAS. This role involves analyzing complex data sets, developing predictive models, and providing actionable insights to drive business decisions.

Key Responsibilities:

• 
  
  Data Analysis:
  • Collect, clean, and preprocess large datasets from various sources.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
  • Apply statistical techniques and advanced analytical methods to solve business problems.
• 
  
  Programming:
  • Develop and maintain scripts and programs in Python and SAS.
  • Automate data processing and analysis workflows using Python and SAS.
  • Implement and optimize predictive models using machine learning techniques.
• 
  
  Reporting and Visualization:
  • Create interactive dashboards and reports using tools such as Tableau, Power BI, or similar.
  • Present findings and insights to stakeholders through clear and concise visualizations.
• 
  
  Collaboration:
  • Work closely with cross-functional teams, including business analysts, data engineers, and other stakeholders.
  • Provide technical guidance and mentorship to junior team members.
• 
  
  Continuous Improvement:
  • Stay up-to-date with the latest trends and technologies in data science and analytics.
  • Propose and implement improvements to existing processes and methodologies.

Qualifications:

• 
  
  Education:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 
  
  Experience:
  • Proven experience in data analysis, statistical modeling, and programming.
  • Strong proficiency in Python and SAS.
  • Experience with data visualization tools and techniques.
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, etc.).
• 
  
  Skills:
  • Excellent problem-solving and analytical skills.
  • Strong attention to detail and accuracy.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong organizational and project management skills.

Preferred Qualifications:

• Experience in the [insert relevant industry, e.g., finance, healthcare, marketing, etc.] industry.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Location - Pune, Mumbai