Business Development Manager

Strong Interaction Design / Product Design profile

Mandatory (Experience 1) – Must have 3+ YOE in Interaction Design / Product UX, specifically for B2C Mobile apps or digital products

Mandatory (Experience 2) – Must have strong experience designing micro-interactions, animations, and user flows (e.g., contextual UI responses like notifications, transitions, feedback states)

Mandatory (Experience 3) – Hands-on experience with designing intuitive, responsive, and engaging user interfaces, with focus on usability + delight (not just static UI screens

Mandatory (Experience 4) – Must have experience working closely with product managers and engineering teams to translate interaction concepts into shipped features

Mandatory (Experience 5) – Strong understanding of user behavior, heuristics, and interaction patterns across mobile platforms (Android/iOS)

Mandatory (Tools) – Proficiency in tools like Figma, Adobe XD, Principle, After Effects, Framer, or similar for interaction prototyping

Mandatory (Portfolio) – Strong portfolio showcasing: Micro-interactions, Motion/animation work, User flows and interaction thinking, Real product implementations (not just UI screens)

Mandatory (Education) – Design Education / HCI / Technology or related field

Lead / Sr. Data Engineer (Architect & Engineering Owner)

The Role

We are seeking a Lead Data Engineer who operates at the intersection of high-scale engineering and enterprise architecture. In this role, you will "own" our healthcare data platform end-to-end. You aren't just building pipelines; you are designing the blueprint for how clinical, claims, and sales data flow through our ecosystem. You will bridge the gap between legacy systems (MSSQL/Oracle) and modern cloud warehouses (Snowflake/Redshift/Databricks), ensuring our data is governed, HIPAA-compliant, and optimized for advanced analytics.

What You’ll Do

1. Architecture & Strategic Leadership

• Design the Blueprint: Own the enterprise data architecture (Staging, Integration, Warehouse, and Semantic layers). Define the evolution from monolithic databases to scalable cloud-hosted analytics.
• Modeling Mastery: Lead the design of complex Dimensional Models (Star/Snowflake) and implement advanced Slowly Changing Dimension (SCD) strategies to track historical clinical events.
• Set the Standard: Establish coding, version control (GitHub), and CI/CD standards. Conduct design reviews and mentor a team of engineers to move from "task-takers" to "system-builders."

2. Advanced Data Engineering (Hands-on)

• Modern ELT/ETL: Build and orchestrate production-grade pipelines using Python, Airflow, and dbt. Manage automated ingestion via Fivetran or custom-built frameworks for APIs and EHRs.
• Multi-Engine Expertise: Operate seamlessly across PostgreSQL, MSSQL, and Oracle, while optimizing petabyte-scale cloud warehouses like Snowflake or Redshift.
• Performance Tuning: Own query optimization. You should be the expert at using EXPLAIN/ANALYZE, partitioning, and indexing to reduce compute costs and latency.
• Quality & Reconciliation: Design robust validation frameworks to ensure data integrity—essential for healthcare compliance and clinical trust.

3. Healthcare Interoperability & Governance

• Data Standards: Map diverse datasets (EHR, API, Flat Files) to HL7 FHIR resources and curated analytic layers.
• Privacy by Design: Embed HIPAA Security Rule safeguards (encryption, audit trails, and access controls) directly into the code and infrastructure.
• Interoperability: Handle complex semi-structured data (JSON/XML) from third-party partners and EMR systems.

What You’ll Bring

• Experience: 8–12+ years in Data Engineering/Architecture. You should have a track record of leading technical projects or mentoring teams.
• The "Hybrid" Stack: * Expert SQL/PL-SQL: Deep experience with performance tuning in relational environments (Oracle/MSSQL).
• Modern Tools: Practical experience with Snowflake/Redshift, dbt, and Airflow.
• Programming: High proficiency in Python (Pandas, PySpark) or Java/Scala for custom ETL routines.
• Architectural Depth: Clear understanding of SDLC, Agile (Scrum), and Data Modeling frameworks.
• Healthcare Domain: Exposure to pharmaceutical or clinical data (Life Sciences, EMR, or Claims) is highly preferred.
• Soft Skills: The ability to translate "clinical business needs" into "technical runbooks" and communicate effectively with stakeholders.

Nice to Have

• AI/ML Integration: Experience supporting Data Science teams with feature extraction and model deployment (SageMaker/Azure ML).
• Advanced Tooling: Familiarity with NoSQL (MongoDB), search engines (Elasticsearch), or niche ETL tools (Talend/Informatica) for migration purposes.
• Cloud Infrastructure: Hands-on experience with AWS Glue, Lambda, or Azure Data Factory.

Seeking a detail-oriented Estimator with experience in exterior windows, doors,and storefront systems. The ideal candidate will be skilled in reading architectural drawings, performing accurate quantity takeoffs, and preparing precise cost estimates. Proficiency in AutoCAD

and Excel is required, along with familiarity with OST (On-Screen Takeoff) and Bluebeam. Knowledge of Revit is a plus.

Key Responsibilities:

• Review architectural and structural drawings and specifications to prepare detailed cost estimates for glazing, windows, doors, and storefront systems.

• Perform quantity takeoffs and develop material and labor cost breakdowns.

• Use AutoCAD to interpret design details and confirm quantities and dimensions.

• Utilize Excel, OST, and Bluebeam to organize takeoffs, calculate costs, and prepare bid proposals.

• Coordinate with vendors and subcontractors to obtain and verify pricing.

• Support project managers and design teams during preconstruction and project handoff.

• Maintain organized estimate documentation and historical cost data.

Qualifications:

• Education: Bachelor’s degree in Construction Management, Engineering, Architecture, or related field (or equivalent experience).

• Experience: 2–3 years of estimating experience in commercial glazing, façade, or exterior systems.

• Technical Skills:

o Proficient in AutoCAD and Microsoft Excel (formulas, data organization, and reporting).

o Skilled in reading and interpreting architectural and structural drawings.

o Experience with On-Screen Takeoff (OST) and Bluebeam Revu.

o Familiarity with Revit (preferred).

o Strong analytical and mathematical skills.

o Excellent attention to detail and organizational abilities.

o Ability to work both independently and collaboratively in a fast-paced environment.

Preferred Attributes:

• Knowledge of storefront, curtain wall, window wall, and door systems.

• Understanding of building envelope components and installation methods.

• Ability to manage multiple estimates and meet tight deadlines.

Requirements:

• 2-3 years of experience in retail onboarding for SCF/ Fintechs/QR/Business loan etc

The JD is as below:

• Onboarding customers, collecting all the required documents, executing agreements etc
• Collecting repayments and educating customers on credit benefits and timely repayment benefits
• Building and maintaining relationships with clients and sellers' ground team
• Meeting and exceeding sales targets
• Staying up-to-date on company policies and competitor activities
• Collaborating with internal teams and anchor teams to ensure the successful product placement
• Providing excellent customer service to customers/borrowers

Do let me know if any other details are required.

We are a 20-year old IT Services company from Kolkata working in India and abroad. We primarily work as SSP(Software Solutions Partner) and serve some of the leading business houses in the country in various software project implementations specially on  SAP and Oracle platform and also working on Govt & Semi Govt projects as outsourcing partner all over PAN India.

Can be anywhere in India ( Mumbai ,Pune and Kolkata is

preferable)

Machine Learning/Deep Learning experience above 3

years

• Clear and structured thinking and communication

Keywords: Machine Learning, Deep Learning, AI,

Regression, Classification, Clustering, NLP, CNN, RNN,

LSTM, AutoML, k-NN, Naive Bayes, SVM, Decision

Forests

• Understand granular requirement, underlying business

problem and convert to low level design

• Develop analytic process chain with pre-processing,

training, testing, boosting etc.

• Develop the technical deliverable in mcube

(Python/Spark ML/R, H2O/Tensorflow) as per design

• Ensure quality of deliverable (coding standards, data

quality, data reconciliation)

• Proactively reach out for risks to Technical Lead
• Machine Learning, Deep Learning, Regression,

Classification, Clustering, NLP,CNN, RNN

• Expertise in data analysis and analytic programming

(Python/R/ SparkML/Tensorflow)

• Experience in multiple data processing technology

(preferably Pentaho or Spark)

• Basic knowledge in effort estimation, Clear and

structured thinking and communication

• Expertise in testing accuracy of deliverables (model)
• Exposure to Data Modelling and Analysis
• Exposure to information delivery (model outcome

communication)

M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)

• Masters course in Data Science after technical (engineering/

science) degree

Job Responsibilities:

• Oversight of recruitment delivery and operations. Partner closely with the business teams to ensure sourcing and hiring strategies are aligned with People’s strategies.
• Use industry knowledge and experience to identify and attract the best talent in technical or business baseline.
• Determining current hiring needs and producing forecasts
• Develop a sustainable talent acquisition and hiring plans and strategies 
• Create, organize, and implement new and enhanced recruiting and selection processes/tools to drive efficiency and improve the quality of hires
• Develop and oversee innovative sourcing strategies to attract talent from non-traditional and/or diverse talent pools
• Actively leverage a network/user group base to promote the brand and tap into potential talent. 
• Plan procedures for improving the candidate experience
• Suggest measures for improving employee retention 

The ideal candidate must have-

• At least 6+ years of experience in Talent Acquisition or similar TA role - Experience in Tech hiring is a big plus.
• Experience in hiring for Start-ups is a must.
• In-depth knowledge of full-cycle recruiting and sourcing.
• Experience with HRIS, ATS, Sourcing and Recruitment Marketing tools

• Strong working knowledge of Typescript, MongoDB, MySQL, Express

• Strong proficiency in TypeScript, JavaScript including DOM manipulation and the JavaScript object model, ES6

• Hands-on experience in React JS

• Strong understanding of HTML5, CSS3

• Strong understanding of NodeJS fundamentals

• Knowledge and experience working with PostgreSQL is a major plus

• Experience with ORM libraries

• Familiarity with RESTful APIs

• Knowledge of tools like Git, GitHub, JIRA, Cucumber, Jasmine, and others that make coding more efficient and easier to share
• Familiarity of working in either the AWS Cloud or Azure including Docker + Kubernetes based microservice deployment.

Its remote, Independent consultant, WFH.