Preferable Women candidates. Job Summary: We are seeking a creative and data-driven Marketing Specialist to join our ProV team. The ideal candidate will develop, implement, track, and optimize our digital marketing campaigns across all digital channels. The role requires a deep understanding of current marketing tools and strategies and the ability to lead integrated digital marketing campaigns from concept to execution. Key Responsibilities: Strategy Development: Plan and execute all digital marketing campaigns, including SEO/SEM, email, social media, display advertising, and content marketing. Collaborate with internal teams to design cohesive marketing strategies. Campaign Management: Optimize campaigns based on key performance indicators (KPIs) such as ROI, CTR, and conversion rates. Develop and manage budgets for digital marketing efforts. Search Engine Optimization (SEO): Implement and monitor SEO best practices to increase organic traffic. Perform keyword research and competitor analysis. Content Marketing: Create and manage engaging, high-quality content for blogs, social media, and other digital platforms. Coordinate with designers and copywriters for creative development. Social Media Management: Manage and grow social media accounts, ensuring consistent brand voice and identity. Develop strategies to increase followers, engagement, and brand loyalty. Analytics and Reporting: Use analytics tools like Google Analytics, SEMrush, or similar platforms to monitor and report on performance. Provide insights and recommendations for improvements based on data analysis. Advertising: Oversee paid advertising campaigns, posters, including Google Ads and social media ads. Test and optimize ad creatives, audiences, and bidding strategies. Stakeholder Collaboration: Work closely with the sales team to align campaigns with sales goals. Partner with external agencies and vendors as needed. Requirements: Bachelors degree in marketing, Communications, or a related field. 5 yrs of experience in digital marketing or related roles. Proficiency in tools such as Google Analytics, Google Ads, Facebook Ads Manager, and CRM systems. Strong understanding of SEO, SEM, brand management and email marketing techniques. Good understanding on designing posters and thumbnails. Worked in USA / Europe regions. Exceptional analytical skills and attention to detail. Excellent written and verbal communication skills. Creative mindset with the ability to think outside the box.
Roles and Responsibilities Provide technical guidance on best practices for data operations, warehousing, and analytics. Ensure high-quality data processing by implementing robust testing frameworks and monitoring dashboards. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop and maintain ETL processes for extracting, transforming, and loading (ETL) data from various sources into the data lake.
Roles and Responsibilities Develop and implement comprehensive cyber security strategies aligned with business objectives. Lead incident response efforts, conducting thorough investigations and developing actionable recommendations. Collaborate with cross-functional teams to identify vulnerabilities, prioritize remediation efforts, and monitor progress. Ensure compliance with relevant regulations (e.g., HIPAA) through regular audits and risk assessments. Provide expert guidance on industry best practices for cybersecurity governance, risk management, and compliance.
Job Title: Data Solutions Architect Snowflake & Databricks (AI-Enabled) Location: Chennai (Preferred) / India Role Overview: We are seeking a highly skilled Data Solutions Architect with expertise in Snowflake and Databricks as part of our Data Warehousing practice. This individual will be responsible for architecting scalable, AI-driven data solutions , leading project execution teams, and supporting pre-sales activities . The ideal candidate will combine deep technical knowledge with strong leadership and client-facing skills. Key Responsibilities: Solution Architecture: Design and implement data warehousing and analytics solutions using Snowflake and Databricks. Integrate AI/ML capabilities into data pipelines and analytics workflows. Ensure solutions are secure, scalable, and optimized for performance. Pre-Sales & Consulting: Collaborate with sales teams to understand client requirements and propose tailored solutions. Prepare solution blueprints, Effort Estimations and demos for prospective clients. Support Pre-Sales team in Technical Proposal Preparation. Participate in client presentations and workshops. Project Delivery & Leadership: Lead end-to-end project execution from requirements gathering to deployment . Manage and mentor a team of data engineers and developers. Ensure adherence to best practices, timelines, and quality standards. Innovation & Thought Leadership: Stay updated on emerging trends in data warehousing, AI/ML, and cloud technologies . Contribute to building accelerators, frameworks, and reusable assets for the practice. Required Skills & Experience: Technical Expertise: Strong hands-on experience with Snowflake and Databricks architecture and implementation. Proficiency in SQL, Python, Spark , and data modeling techniques. Experience integrating AI/ML models into data pipelines. Familiarity with cloud platforms (AWS, Azure, or GCP). Leadership & Delivery: Proven experience in leading teams and delivering complex data projects. Strong project management skills with exposure to Agile methodologies . Pre-Sales & Communication: Ability to engage with clients, understand business needs, and translate them into technical solutions. Provide estimations and support Pre-Sales teams in preparation of Proposal / SOW. Excellent presentation and communication skills. Preferred Qualifications: Certifications in Snowflake , Databricks , or relevant cloud platforms. Experience in data governance, security, and compliance frameworks . Exposure to generative and Agentic AI and advanced analytics use cases. Why Join Us? Opportunity to build and scale the practice in a high-growth area. Work on cutting-edge AI-driven data solutions for global clients. Collaborative and innovative work environment. Preferred experience levels of Candidate: Total Experience: 10–15 years in Data/Analytics (Architect/Lead roles) Platform Experience: Snowflake: 3+ years hands-on (architecture, optimization, governance) Databricks: 3+ years hands-on (Spark, ML workflows, Lakehouse) Cloud (Azure/AWS/GCP): 5+ years , including security/compliance AI/ML Integration: 2–4 years integrating ML/GenAI pipelines with data platforms Leadership: 3–5 years leading teams (8–20 members), end-to-end delivery ownership Pre-Sales: 2–4 years (solutioning, demos, estimations, TCO/ROI modeling) Industry Focus (nice-to-have): Manufacturing, Utilities, Services