11+ DFM Jobs in Bangalore (Bengaluru) | DFM Job openings in Bangalore (Bengaluru)

• Min. 3-4 years HANDS-ON EXPERIENCE below is mandatory. Altium Designer/Allegro (Preferred tools) Design of multilayer impedance-controlled PCBs
• Schematic symbol and Footprint Library Creation as per IPC standard.
• Hands-on experience with high speed and mixed-signal multilayer layout design.
• Component Placement and Routing plan preparation for design effectiveness
• Complex layout design with DFM and DFT Considerations.
• Gerber Generation and CAM Validation

Required Skill Sets:

• Knowledge of DFM & DFT
• Knowledge of layer stack-up build.
• Knowledge of EMI/EMC considerations for the successful layout design.
• Knowledge of IPC standards.
• In-depth knowledge of PCB fabrication process and Assembly.
• Knowledge in deciphering 2D/3D CAD DRAWINGS
• Willingness to learn new tools, technologies, and processes.

Qualification:

• Diploma/BE/B. Tech in Electronics or any other discipline.

Role & Responsibilities

We’re hiring a Benefits Verification Specialist with 5–8 years of experience in US health insurance eligibility and benefits verification. You’ll be part of our operations team, helping verify insurance benefits for patients receiving speciality care in the U.S.

This is a full-time, in-office role based in Bangalore, with partial overlap with US hours.

Key Responsibilities:

• Perform insurance verification and eligibility checks for commercial and government payers (e.g., Medicare, Medicare Advantage, Medicaid, Managed Medicaid, VA, DoD).
• Validate coverage details including deductibles, co-pay/coinsurance, network status, referrals, prior authorization requirements, and J-code/CPT-code specific benefits.
• Contact payer representatives via phone or payer portals as needed.
• Push back on payer based on previous experience.
• Accurately document findings in internal systems.
• Collaborate with internal teams to resolve missing or mismatched data.
• Collaborate with technology teams to improve data/systems.
• Ensure timely completion of verifications with high accuracy and within defined SLAs.

Ideal Candidate

• Strong Benefit/ Insurance Verifcation Specialists profile
• Mandatory (Experience 1) – Must have 4+ years of experience in US healthcare insurance eligibility and benefits verification
• Mandatory (Experience 2) – Must have 2+ years of experience of handling team
• Mandatory (Experience 3) – Must have Strong understanding (Subject matter expert) of insurance types — Commercial, Medicare, Medicare Advantage, Medicaid, Managed Medicaid, HMO/PPO, VA, DoD, etc.
• Mandatory (Experience 4) – Experience in verifying deductibles, co-pay/coinsurance, prior authorization requirements, network status, and J-code/CPT/HCPCS-specific benefits.
• Mandatory (Experience 5) – Ability to accurately document benefit details and maintain data in internal systems (CRM, RCM, or EMR platforms)
• Mandatory (Experience 6) – Must have worked on payer portals such as Availity, NaviNet, Aetna, UHC, or equivalent.
• Manadatory (Skills) - Good communication skills
• Preferred (Experience) – Prior experience in specialty pharmacy, oncology, infusion therapy, or behavioral health benefit verification.

Perks, Benefits and Work Culture

• Be part of a team solving critical problems in healthcare automation
• High-ownership role in a startup culture with mentorship and fast learning
• Work closely with product and engineering teams building cutting-edge AI agents
• Contribute to improving access to care for patients across the U.S.

About the Role

We are looking for a Senior Data Engineer with strong hands-on expertise in Databricks, Python, PySpark, and SQL to build scalable, high-performance data engineering solutions. You’ll architect and develop large scale, high-performance data pipelines capable of handling massive real-time and batch data volumes across multiple business systems. Databricks is the core enterprise data and processing platform for this role. You will also use Apache Airflow for workflow orchestration and dbt for ELT transformations, and will contribute to designing reliable, secure, and governed data platforms that enable analytics, reporting, and AI-driven use cases.

Key Responsibilities

• Design and implement large-scale data pipelines using Python/PySpark, Databricks, and Microsoft Fabric.
• Develop and optimize data processing workloads in Databricks using PySpark and Spark SQL, with a strong focus on scalability, reliability, performance, and maintainability.
• Develop and maintain dbt models including layered architecture, incremental models, snapshots, macros, testing, and documentation.
• Design, develop, and maintain Apache Airflow DAGs for orchestrating reliable, scalable, and observable data pipelines.
• Design and implement data quality, observability, and governance frameworks, including automated testing, monitoring, lineage, access control, and data privacy standards.
• Partner with analytics, product, and business stakeholders to turn requirements into trustworthy datasets, and raise the engineering bar through design discussions, code reviews, and mentoring junior engineers.

Required Skills

• Strong expertise in Python for developing scalable, modular, and production-ready data engineering applications.
• Strong expertise in PySpark, including DataFrame API, Spark SQL, Structured Streaming, partitioning strategies, joins, caching, handling data skew, and Spark performance optimization.
• Strong hands-on experience with Databricks for data ingestion, transformation, processing, and optimization, including Delta Lake, Unity Catalog, Databricks Workflows, notebooks, jobs, and Databricks-native data engineering capabilities.
• Strong experience in Databricks/Spark performance tuning, including query and job optimization, partitioning, file sizing, caching, join optimization, handling data skew, and efficient use of compute resources.
• Hands-on experience with Delta Lake, including transactional data processing, schema management, incremental data processing, and reliable batch and streaming data pipelines.
• Hands-on experience in developing dbt projects using layered architecture, incremental models, snapshots, macros/Jinja, testing, documentation, and deployment best practices.
• Expertise in advanced SQL and data modelling — dimensional modeling, slowly changing dimensions, schema evolution, and query optimization.
• Hands-on experience in developing and managing Apache Airflow DAGs, scheduling workflows, dependency management, retries, backfills, and operational monitoring.
• Hands-on experience with at least one major cloud platform (AWS, Azure or GCP).
• Strong problem-solving skills and the ability to work independently with business and analytics stakeholders.

Nice to Have

• Hands-on exposure to Microsoft Fabric for data integration and analytics.
• Experience using AI coding assistants (e.g. Claude Code, GitHub Copilot) as part of a development workflow.
• Familiarity with modern DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and containerization (Docker/Kubernetes).
• Domain expertise in financial services.

Strong Java Developer with hands-on experience in building, deploying, debugging, and supporting Java applications on Kubernetes-based container platforms. 

Focus is on application development and deployment support rather than Kubernetes administration or security management. Experience with JMS/Messaging systems is preferred.

Primary skills required:

• Core Java
• Kubernetes (Application Deployment & Execution)
• Docker & Containerization
• Build & Deployment Support
• scripting can be python also if not java script 

Kubernetes Certified Application Developer (CKAD) certification would be an added advantage.

What You’ll Be Doing:

• Design and develop advanced AI/ML models to solve complex business problems
• Work closely with cross-functional teams including data engineers and domain experts
• Perform exploratory data analysis, data cleaning, and model development
• Translate business challenges into data-driven solutions and actionable insights
• Drive innovation in advanced analytics and AI/ML capabilities
• Communicate model insights effectively to both technical and non-technical stakeholders

What We’re Looking For:

• 5+ years of experience in AI/ML model development
• Strong foundation in mathematics, probability, and statistics
• Proficiency in Python and exposure to Azure Machine Learning / Databricks
• Experience with supervised & unsupervised learning techniques
• Domain exposure to Energy / Oil & Gas value chain (preferred)
• Strong problem-solving, stakeholder management, and communication skills

SharePoint Infra build;SharePoint Content Migration;CollabM365SharePointSuite;Sharepoint Online;Sharepoint 2019;SharePoint Search Configuratn;MS Power BI;Sharepoint Administration;

Bachelor's degree in Accounting, Commerce, or Finance

1-3 years of accounting experience (internship experience can be considered for freshers)

• Proficiency in MS Excel and accounting software (Tally, Zoho Books, QuickBooks, or similar)

Basic knowledge of GST, TDS, and statutory compliance

Strong numerical and analytical skills

About the Company:
Torre Capital (https://www.torre.capital/) is a VC funded Singapore based Financial Technology company and a Registered Fund Manager in Singapore. We are creating a fully digital Wealth-Tech to connect family offices and HNI investors with global opportunities, including alternative assets like Private Equity, Venture Capital, Real Estate Funds, and Hedge Funds. We also offer our investors the ability to invest in high-quality global growth startups, private debt opportunities, and other liquid opportunities (Equity baskets, structured products, etc.). Our team comprises of ex-Mckinsey consultants, Asset management veterans, and Digital experts. We are backed by prestigious VC firms and a network of angels and industry leaders.

Role:

Digital Sales Manager with experience in Financial Services Sales in that particular city. Role reports to Sr. Wealth Manager / Sr. Digital Wealth Manager. 

Experience:

Candidates  with experience Fintech Space / B2B sales-digital sales in large Tech Startups and with existing network of HNIs 

Location:

Mumbai / Ahmedabad/ Bangalore/ Kolkata / Chennai/ Hyderabad / Pune / Jaipur / Surat / Rajkot/ Gurgaon / Noida / Chandigarh / Kochi (Cochin) / Vizag

Role Description:

• You work with the City’s biggest family offices and HNIs to onboard and activate them as our investors.
• Leading our outreach initiative, developing relations with new partners and building firm commitments for collaboration
• Negotiating attractive partnership deals and ensuring mutually beneficial partnership terms that are in line with business objectives and strategy.
• Maintaining and deepening relationships with existing partners.
• Conceptualizing and leading initiatives that give way to potential new revenue channels.
• Developing metrics to measure ROI from the synergies forged.
• Liaising with cross functional teams to create successful outcomes for both the business and its partners.

Qualifications:

• You have a Masters in Business Administration or related discipline from a top tier college or university
• You have at least 2- 5 years experience within a strategic engagements, partnerships & alliances, B2B account management or similar roles.
• You are aware of & are intersted  in the FinTech ecosystem.
• You possess excellent interpersonal as well as written and verbal communication skills.
• You have a proven track record of meeting/exceeding your targets in your previous roles.
• You have a strong experience within consultative sales and possess the ability to prospect and manage senior level relationships.

What We Offer:
To start with, what we give is a market sustenance compensation and no benefits. If you continue post the first 6 months, we offer a market comp AND performance linked bonus. We firmly believe in the partnership model and any success will be equitably shared. What is on the plate is an entrepreneurial opportunity to build a fintech from scratch, an independent environment where everyone is a co-owner, and a strong team of equally talented individuals. Folks looking for a large paycheck on Day 1 kindly excuse.