Position Summary We are seeking a Data Engineer / Lead Data Engineer with deep experience in data architecture, ETL pipelines, and advanced analytics support. This role is crucial for designing robust pipelines to process structured and unstructured data, integrate ML models, and ensure data reliability. The ideal candidate will be proficient in Python, R, SQL, and cloud-based tools, and possess hands-on experience in creating end-to-end data engineering solutions that support data science and analytics teams. Key Responsibilities Design and optimize data pipelines to ingest, transform, and load data from diverse sources. Build programmatic ETL pipelines using SQL and related platforms. Understand complex data structures and perform data transformation effectively. Develop and support ML models such as Random Forest, SVM, Clustering, Regression, etc. Create and manage scalable, secure data warehouses and data lakes. Collaborate with data scientists to structure data for analysis and modeling. Define solution architecture for layered data stacks ensuring high data quality. Develop design artifacts including data flow diagrams, models, and functional documents. Work with technologies such as Python, R, SQL, MS Office, and SageMaker. Conduct data profiling, sampling, and testing to ensure reliability. Collaborate with business stakeholders to identify and address data use cases. Qualifications & Experience 5 to 8 years of experience in data engineering, ETL development, or database administration. Bachelor’s degree in Mathematics, Computer Science, or Engineering (B.Tech/B.E.). Postgraduate qualification in Data Science or related discipline preferred. Strong proficiency in Python, SQL, Advanced MS Office tools, and R. Familiarity with ML concepts and integrating models into pipelines. Experience with NoSQL systems like MongoDB, Cassandra, or HBase. Knowledge of Snowflake, Databricks, and other cloud-based data tools. ETL tool experience and understanding of data integration best practices. Data modeling skills for relational and NoSQL databases. Knowledge of Hadoop, Spark, and scalable data processing frameworks. Experience with SciKit, TensorFlow, Pytorch, GPT, PySpark, etc. Ability to build web scrapers and collect data from APIs. Experience with Airflow or similar tools for pipeline automation. Strong SQL performance tuning skills in large-scale environments.
Position Summary As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy data-driven solutions. You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes. This role demands strong leadership, deep technical expertise, and a passion for continuous innovation. Key Responsibilities Manage a team of data scientists, machine learning engineers, and big data specialists. Lead data mining, data collection, and cleansing procedures. Ensure high standards of data quality and integrity across all projects. Interpret complex data sets to identify patterns, trends, and actionable insights. Conceive, plan, and prioritize data science initiatives aligned with business goals. Develop and deploy scalable analytics systems and predictive models. Test and validate data-driven products for performance and reliability. Create compelling visualizations and comprehensive reports for stakeholders. Experiment with emerging models and machine learning techniques for innovation. Qualifications & Experience 6-8 years of working experience in Image Processing using deep learning frameworks such as OpenCV, PyTorch, TensorFlow, Theano, and Caffe. Experience in Text Analytics using NLP tools and techniques on unstructured data. Proven track record in building, deploying, and scaling statistical and deep learning models. Experience with large-scale data (structured and unstructured), data management, parallel computing, and distributed systems. Ability to thrive with minimal supervision in a dynamic, fast-paced environment. Capability to understand diverse business processes and quickly contextualize data requirements. Strong problem-solving skills to translate business problems into actionable data strategies. Excellent communication skills (verbal and written) with a learning and innovation mindset. Strong passion for leveraging AI/ML to solve business problems and a proactive approach to experimentation. Hands-on experience with exploratory data analysis, machine learning, and advanced analytics methods.
Company Description Talent Kettle is your trusted partner in Engineering talent solutions, aiding startups to large enterprises in scaling faster with the right people. We specialize in IT Staff Augmentation, providing flexible, reliable, and skilled tech professionals to fit your project needs on demand. Our services include dedicated remote developers and engineers, contract-to-hire, full-time placements, and technical interview support, with a global talent access approach. Talent Kettle stands out for fast, flexible hiring and a human-first, tech-smart strategy, serving industries like FinTech, HealthTech, SaaS, E-Commerce, Cybersecurity, and BFSI. Role Description This is a full-time on-site role for a BIM Manager - Scan2BIM located in Ahmedabad. The BIM Manager will be responsible for managing Building Information Modeling (BIM) processes, coordinating BIM projects, and ensuring successful virtual design and construction. Daily tasks include collaborating with architectural and MEP teams, overseeing project execution, and ensuring accurate and timely project delivery. Qualifications Proficiency in Building Information Modeling (BIM) and BIM Coordination skills Must have 5+ years experience in US based projects in scan to BIM or Cad to BIM Experience in Virtual Design and Construction (VDC) processes Knowledge and skills in Architecture Familiarity with Mechanical Electrical and Plumbing (MEP) Strong leadership and project management skills Excellent communication and collaboration abilities Ability to work on-site in Ahmedabad Bachelor's degree in Architecture, Engineering, or a related field
Role Context: We are looking for a Senior Designer with a minimum of 4 years of experience in designing furniture and millwork using AutoCAD and other relevant design tools. The ideal candidate should possess a deep understanding of furniture detailing, materials, and joints, as well as architectural drawings. The candidate will also be responsible for guiding junior team members on technical aspects and ensuring the highest quality of design output. Responsibilities: Create detailed furniture and millwork drawings using AutoCAD and other CAD software. Collaborate on design and detailing related to building products and furniture projects. Work on architectural drawings with precision and a focus on quality and standards. Implement Value Engineering principles and ensure alignment with Manufacturing Execution Systems (MES) for efficient production. Provide technical guidance to junior designers and team members to improve skillsets and ensure design excellence. Plan and schedule project tasks while participating in negotiations and resolving conflicts when needed. Communicate effectively with an inter-cultural team, ensuring smooth collaboration and assertive communication. Skills and competencies: · Expertise in AutoCAD and experience with multi-CAD environments. · Strong background in furniture design, including material selection, joint detailing, and millwork. · Knowledge of architectural drawings and their application in furniture and building product design. · Proficiency in Advance Quality Tools and Value Engineering concepts. · Strong skills in Project Planning, Scheduling, and Negotiation. · Excellent communication skills, with the ability to work as a team player and maintain assertive communication. · Capable of handling Conflict Management and Risk Management effectively. Experience & Qualification Education: Bachelor's degree in relevant field. Experience: 4 plus years in furniture and kitchen cabinets. What We Offer: · Compensation commensurate with experience, competitive base salary plus bonus. · A flexible comprehensive benefits package to suit your personal circumstances. · A supportive work culture that gives you the freedom to experiment. · A co-funded professional development program which aligns with your career growth.