Project Manager - Resource Management

Job Title: Azure Data Engineer

Experience Required: 7+ Years

Location: Coimbatore

Employment Type: Full-time

Job Summary

We are looking for an experienced Azure Data Engineer with 7+ years of hands-on experience in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong expertise in Azure Data Factory, Azure Databricks, Azure Data Lake, SQL, PySpark, and ETL/ELT pipelines, along with experience in data warehousing and cloud-based data architecture.

The candidate should be capable of building robust data pipelines, optimizing data workflows, and supporting business intelligence and analytics initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF) and Azure Databricks
• Implement ETL/ELT processes for structured and unstructured data from multiple sources
• Work extensively with Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL Database
• Develop and optimize PySpark and Spark SQL workflows in Databricks
• Perform data transformation, cleansing, validation, and enrichment processes
• Build and maintain data models for reporting, analytics, and business intelligence solutions
• Collaborate with business stakeholders, data analysts, and architects to understand data requirements
• Ensure data quality, governance, security, and compliance standards are maintained
• Monitor and troubleshoot data workflows and optimize performance for large-scale data processing
• Support migration of on-premises data platforms to Azure Cloud environment
• Create technical documentation and maintain best practices for data engineering processes

Required Skills

Technical Skills

• Strong hands-on experience in Microsoft Azure Cloud Platform
• Expertise in Azure Databricks with strong PySpark experience
• Experience with Azure Data Factory (ADF)
• Good knowledge of Azure Data Lake Storage (ADLS Gen2)
• Experience in Azure Synapse Analytics
• Strong SQL skills with performance tuning experience
• Experience with ETL/ELT pipeline development
• Understanding of Data Warehousing concepts
• Experience with Delta Lake, Spark optimization, and partitioning strategies
• Exposure to CI/CD pipelines, DevOps, and deployment automation
• Knowledge of Power BI is an added advantage
• Familiarity with Git, version control, and Agile methodology

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and stakeholder management
• Ability to work independently and in team environments
• Strong debugging and troubleshooting capability

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, IT, or related field
• Microsoft Azure certifications are preferred
• Experience working in enterprise-scale data environments
• Exposure to big data technologies is an added advantage

Nice to Have

• Experience in Snowflake, Kafka, or Airflow
• Exposure to Machine Learning data pipelines
• Knowledge of real-time streaming solutions using Azure Event Hub or Stream Analytics

Notice Period Preference

Immediate joiners or candidates with short notice period preferred.

Job Location: Ahmedabad - WFO 

Job Description: 

Roles / Responsibilities:

• Create high-quality, Research based & engaging content, including Landing Pages, blogs, portfolio, case studies, guest blogging and more.
• Collaborate with the team to develop and execute the content.
• Updating website content as needed
• Create new content to assist marketing campaigns
• Work closely with marketing team members
• Optimize content using SEO best practices
• Conducting simple keyword research and use SEO guidelines to increase web traffic
• Present drafts and final deliverables to the internal team, and founders as needed, and participate in brainstorming sessions from time-to-time
• Revise copy based on feedback/direction
• Be willing to suggest creative ways to showcase our products to a distinct set of users and customers worldwide
• Ensure brand image and message is being maintained across all company communication

Requirements: 

• Exceptional proficiency in written and verbal English communication is essential.
• Proven Strong Written Communication Skills
• Minimum 3+ years Experience in Technical writing (with work samples)
• Knowledge of IT industry and jargons is desirable
• Familiarity with content management systems

Job Summary:

We are looking for a strategic and creative Social Media Manager to lead the content planning, execution, and marketing across three key verticals of the BFC Group. The ideal candidate will be responsible for building a strong social presence, driving engagement, and aligning content with the brand’s voice and business goals.

Key Responsibilities:

• Content Strategy & Planning:
• Develop and manage monthly content calendars for all three verticals.
• Collaborate with internal teams to align content with marketing campaigns and business objectives.
• Conduct competitive and audience research to inform content tone and style.
• Content Creation & Execution:
• Oversee the creation of original, engaging, and brand-aligned content (text, image, video, reels, stories, etc.).
• Work with designers, videographers, and copywriters to produce content that performs.
• Ensure timely posting across all relevant social media platforms.
• Social Media Marketing & Management:
• Manage social media tools for scheduling, analytics, and community management.
• Track performance metrics and generate insights for continuous improvement.
• Brand Engagement:
• Monitor social media trends and viral content opportunities.
• Respond to comments, messages, and queries in a timely and professional manner.
• Build and nurture online communities for each vertical.
• Reporting & Analysis:
• Prepare monthly performance reports with actionable insights.
• Suggest improvements based on analytics, user behavior, and campaign performance.

Requirements:

• Bachelor's degree in Marketing, Communications, or related field.
• 2–4 years of experience managing social media accounts (preferably across multiple brands or verticals).
• Strong understanding of platform-specific best practices (Instagram, Facebook, LinkedIn, YouTube, etc.).
• Proficiency with tools like Meta Business Suite, Canva, Buffer/Hootsuite, and analytics dashboards.
• Excellent communication, writing, and visual storytelling skills.
• Ability to multitask, manage deadlines, and work collaboratively.

Role & Responsibilities:

About the Role:

We are seeking a highly driven and strategic Manager - Investment (Startup Fundraising) to lead fundraising, manage investor relationships, and drive portfolio growth. The role requires a mix of financial expertise, investor engagement, and strong networking ability to achieve AUM growth and revenue targets. The ideal candidate will have proven experience in capital raising, managing HNIs/Family Offices/Venture Partners, and expanding investor networks.

Key Responsibilities:

Fundraising & AUM Growth-

• Drive growth in Assets Under Management (AUM) by meeting set targets.
• Achieve quarterly and annual revenue targets through investor onboarding and capital deployment.

Investor Relationship Management-

• Research, identify, and connect with high-potential investors (HNIs, Family Offices, Institutions).
• Nurture relationships with inactive investors and convert them into active contributors.
• Build long-term trust by ensuring transparency, timely updates, and strong portfolio communication.
• Proactively outreach and pitch BizDateUp’s value proposition and curated startup campaigns.
• Seamlessly onboard new investors, ensuring smooth KYC, onboarding, and activation.

Business Development & Conversion-

• Source, qualify, and onboard new investors through referrals, networking, and events.
• Leverage existing investor networks for introductions and referrals.
• Manage pipeline of new investor conversions and ensure smooth onboarding process.

Networking & Outreach-

• Represent the firm in industry events, conferences, and investor summits to expand reach.
• Stay updated on funding trends, investor behavior, and competitive landscape.
• Conduct one-on-one investor meetings to present opportunities and investment strategies.
• Establish strong connections with Venture Partners, Family Offices, and Institutional Investors for strategic collaborations.

Strategic Input & Reporting-

• Prepare and present investment proposals and performance reports.
• Work closely with the investment team to align fundraising strategy with portfolio needs.
• Track KPIs (AUM growth, investor reach-outs, referrals, event participation, conversions, revenue).

Ideal Candidate:

• Strong investor management profile
• 4+ years of fundraising experience, with at least 1 year in Category II AIFs (PE / VC / Credit / Special Situations) selling to HNIs, Family Offices, or Wealth Managers.
• Must be proficient in pitching investment opportunities and onboarding investors
• Must have experience conducting investor meetings & presentations
• Must have experience achieving revenue targets
• Must have experience representing the company at networking events
• Must understand startup valuation basics, portfolio reporting, investment products.
• Must prepare investment proposals, performance reports, and KPIs.
• No strict requirement, but finance background preferred.
• Must have high ownership and target-driven mindset.
• Preferably from VC firms, AIFs, Wealth Management, Investment Banking, or startup fundraising roles.
• Events industry
• Experience in startup funding events & roadshows

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments
• Build and maintain scalable ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams to identify AI-driven product opportunities
• Translate business requirements into ML solutions and technical implementations
• Optimize model performance, accuracy, and latency for real-time applications
• Integrate AI/ML models with APIs and backend systems
• Monitor model performance and implement continuous improvement strategies
• Ensure best practices in data handling, model versioning, and reproducibility
• Stay updated with the latest advancements in AI/ML and apply them to product innovation

Required Skills & Qualifications

• Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (experience with Java/Go is a plus)
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical concepts
• Experience in building and deploying ML models in production
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
• Experience with data processing tools (Pandas, NumPy, Spark, etc.)
• Knowledge of version control systems like Git 

• Build, Train and Test multiple CNN models.
• Optimizing model training & inference by utilizing multiple GPUs and CPU cores.
• Keen interest in Life Sciences, Image processing, Genomics, Multi-omics analysis
• Interested in reading and implementing research papers of relevant field.
• Strong experience of Deep Learning frameworks TensorFlow, Keras, PyTorch.
• Strong programming skills in python and experience of Ski-Learn/NumPy libraries.
• Experience of training of Object detection Models like YOLOv3/Mask CNN and semantic segmentation models like DeepLab, Unet etc.
• Good understanding of image processing and computer vision algorithm like watershed, histogram matching etc.
• Experience of cell segmentation and membrane segmentation using CNNs (Optional)
• Individual Contributor

• Experience with image processing
• Experience required : 2-10 Years
• CTC :15-40 LPA
• Good python programming and algorithmic skill.
• Experience with deep learning model training using any known framework.
• Working knowledge of the genomics data in R&D

• Understanding of one or more omics data types (transcriptomics, metabolomics, proteomics, genomics, epigenomics etc.)
• Prior work experience as a data scientist, bioinformatician or computational biologist will be a big plus

Position Summary:

The Oracle EDM/DRM Associate is responsible for delivery of Oracle Enterprise Data Management Cloud (EDM) and Data Relationship Management (DRM) consulting projects and shows a demonstrated propensity of technical and functional proficiency in the design and development of enterprise-wide master data applications. 

The Oracle EDM/DRM Associate will also:

• Build and deploy master data solutions for Huron client engagements
• Build and deploy data governance procedures for Huron client engagements
• Work effectively on a team with Huron leadership and peers as well as client personnel

Qualifications:

• 1-6 years of design, implementation, and support of master data management applications and familiarity with ERP/EPM/BI applications
• Bachelor's Degree in Computer Science/Management, Information Systems, Business Administration or equivalent
• Experience with Oracle Enterprise Data Management (EDM) or Oracle Data Relationship Management/Data Relationship Governance (DRM/DRG)
• Familiarity with Oracle ERP, EPM or BI applications and Oracle integration methodologies
• Knowledge of business workflows and change processes
• Knowledge of data governance concepts and master data management best practices

Additional Preferred Skill Requirements:

• Has successfully participated in large-scale MDM and Enterprise Performance Management or Enterprise Resource Planning solutions
• Has experience working with REST APIs, Oracle Data Management (Cloud/FDMEE), Oracle Integration Cloud (OIC), PowerShell, Groovy
• Has strong presentation and collaborative skills and can communicate all aspects of the job requirements, including the creation of formal documentation/deliverables
• Excellent analytical and problem-solving skills
• Excellent organizational, time-management, and communication skills