Data Engineer/ DevOps - Enterprise Big Data Platform

Job Title: Draftsman (Mechanical / Equipment Design)

We are seeking a detail-oriented and technically proficient Draftsman with hands-on experience in AutoCAD and industrial equipment design. The ideal candidate will be responsible for preparing precise engineering drawings, coordinating with internal teams and clients, and supporting design and costing activities for equipment used in the pharma and process industries.

Qualifications

BE / Diploma in Mechanical Engineering

Required Skills

Strong hands-on experience with AutoCAD

Experience in fabrication drawings, preferably for vessels and process equipment

Familiarity with engineering standards such as ASME, API, TEMA, and PED

Basic knowledge of BOQ preparation and costing

Ability to read, interpret, and review technical drawings and specifications

Good communication and coordination skills

Strong analytical and problem-solving abilities

Key Responsibilities

Prepare GA (General Arrangement), P&ID, and layout drawings

Design and draft equipment such as pressure vessels, heat exchangers, and storage tanks

Prepare mechanical data sheets

Ensure designs are efficient and cost-effective

Prepare BOQs and support costing activities

Coordinate with internal departments and clients for design-related tasks

Prepare and verify Bills of Materials (BOM)

Review specifications, sketches, and drawings to determine design requirements

Modify and revise designs to enhance performance and reduce production issues

Assist in preparing technical and commercial offers

Support project execution through proper documentation and drawing control

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

1. Building products that impact millions
2. Working on really tough problems that challenge you
3. Being part of a small team where you are impactful

1. 50K+ API requests/min
2. 25K+ concurrent users every second

• A team that loves coding & building exceptional quality products
• Challenges that will push you beyond your limits
• A democratic place where everyone is heard & aware
• No hierarchy, politics, bosses, managers or anything like that
• And most importantly, Happy Vibes!

• 3 years Willing to take efforts to advance in the technology or learn new technologies.
• Solid understanding of OOPs concepts.
• Willing to take efforts to advance in the technology or learn new technologies.
• Good communication skills and a continuous learner.
• Experience working on waterfall or Agile (Agile model preferred)
• Solid understanding of Python scripting and/or frameworks like Django, Flask Back up RRS.