VP digital marketing and design

About the Role:

We are seeking an experienced Data Engineer to lead and execute the migration of existing Databricks-based pipelines to Snowflake. The role requires strong expertise in PySpark/Spark, Snowflake, DBT, and Airflow with additional exposure to DevOps and CI/CD practices. The candidate will be responsible for re-architecting data

pipelines, ensuring data consistency, scalability, and performance in Snowflake, and enabling robust automation and monitoring across environments.

Key Responsibilities

Databricks to Snowflake Migration

·       Analyze and understand existing pipelines and frameworks in Databricks (PySpark/Spark).

·       Re-architect pipelines for execution in Snowflake using efficient SQL-based processing.

·       Translate Databricks notebooks/jobs into Snowflake/DBT equivalents.

·       Ensure a smooth transition with data consistency, performance, and scalability.

Snowflake

·       Hands-on experience with storage integrations, staging (internal/external), Snowpipe, tables/views, COPY INTO, CREATE OR ALTER, and file formats.

·       Implement RBAC (role-based access control), data governance, and performance tuning.

·       Design and optimize SQL queries for large-scale data processing.

DBT (with Snowflake)

·       Implement and manage models, macros, materializations, and SQL execution within DBT.

·       Use DBT for modular development, version control, and multi-environment deployments.

Airflow (Orchestration)

·       Design and manage DAGs to automate workflows and ensure reliability.

·       Handle task dependencies, error recovery, monitoring, and integrations (Cosmos, Astronomer, Docker).

DevOps & CI/CD

·       Develop and manage CI/CD pipelines for Snowflake and DBT using GitHub Actions, Azure DevOps, or equivalent.

·       Manage version-controlled environments and ensure smooth promotion of changes across dev, test, and prod.

Monitoring & Observability

·       Implement monitoring, alerting, and logging for data pipelines.

·       Build self-healing or alert-driven mechanisms for critical/severe issue detection.

·       Ensure system reliability and proactive issue resolution.

Required Skills & Qualifications

·       5+ years of experience in data engineering with focus on cloud data platforms.

·       Strong expertise in:

·       Databricks (PySpark/Spark) – analysis, transformations, dependencies.

·       Snowflake – architecture, SQL, performance tuning, security (RBAC).

·       DBT – modular model development, macros, deployments.

·       Airflow – DAG design, orchestration, and error handling.

·       Experience in CI/CD pipeline development (GitHub Actions, Azure DevOps).

·       Solid understanding of data modeling, ETL/ELT processes, and best practices.

·       Excellent problem-solving, communication, and stakeholder collaboration skills.

Good to Have

·       Exposure to Docker/Kubernetes for orchestration.

·       Knowledge of Azure Data Services (ADF, ADLS) or similar cloud tools.

·       Experience with data governance, lineage, and metadata management.

Education

·       Bachelor’s / Master’s degree in Computer Science, Engineering, or related field.

We are seeking an experienced Senior Software Engineer to join our Vet Healthcare Technology team. In this role, you will design, develop, and maintain cloud-native applications on Azure that power our Practice Management platform. You’ll collaborate closely with cross-functional teams—clinical SME’s, architects, QA, and DevOps—to deliver robust, scalable, and secure solutions utilizing .NET 8, React, and modern Azure services.

Key Responsibilities

• Architecture & Design
• Lead design discussions and apply proven design patterns (e.g., CQRS, Repository, Factory) to ensure clean, maintainable code.
• Define microservices boundaries and integration strategies (APIs, messaging) for HL7 and FHIR data flows.
• Development & Integration
• Build backend services in .NET 8, leveraging Azure Functions, Logic Apps, Service Bus, API Gateway, and Storage Services.
• Develop responsive front-end interfaces using React, TypeScript, and state-management libraries (e.g., Redux or Context API).
• Implement data persistence layers for SQL Server and PostgreSQL, including schema design, stored procedures, and performance tuning.
• Integrate with healthcare standards (HL7 v2/v3, FHIR R4) and third-party systems via secure, high-throughput interfaces.
• Quality & Compliance
• Write unit and integration tests to ensure code quality; participate in code reviews and pair-programming sessions.
• Follow best practices for security, privacy, and compliance in healthcare (HIPAA, GDPR, etc.).
• Mentorship & Collaboration
• Mentor mid-level engineers, drive knowledge-sharing sessions, and contribute to technical roadmaps.
• Work in an Agile/Scrum environment: estimate user stories, attend sprint ceremonies, and deliver incremental value.

Hi,

We are looking for Receptionist & Personal Assistant for our company. Can work remotely. Please reply if interested.

Thanks!

Cinetoons

Experience in Java

Experience in spring Boot

Experience in microservices

experience in Project management

Experience in leading team

Experience in customer facing

Experience in Product Management

Job Role: Social Media Manager

Location- Kochi

Kapra Highness Ventures-Buyerzkart , is looking for a Social Media Manager. The candidate must have experience in Ecommerce business environment, as well as producing pertinent, interesting, and creative content for a variety of digital platforms.

The Content and Social Media Manager will create and distribute content in various formats across multiple channels with the goal of enhancing our brands and driving digital follower expansion

Job Responsibilities:

• Contributes to the marketing strategy by leveraging social media to identify and acquire customers.
• Develops social media marketing plans and programs for each product and directs promotional support.
• Maintains online relations with customers by organizing and developing specific customer-relations programs.
• Provides short- and long-term market forecasts and reports by directing market research collection, analysis, and interpretation of market data.
• Creates new strategies for market development, acquiring and analyzing data, and consulting with internal and external sources.
• Maintains research database by identifying and assembling marketing information.
• Provides marketing information by answering questions and requests.
• Achieves financial objectives by preparing an annual budget, scheduling expenditures, analyzing variances, and initiating corrective actions.
• Completes social media marketing department operational requirements by scheduling and assigning employees and following up on work results.
• Maintains social media marketing staff by recruiting, selecting, training, and managing employees.
• Develops marketing staff by providing information, educational opportunities, and growth opportunities.

Qualifications/Skills:

• Social media skills
• Creating and maintaining client relationships
• Managing Processes
• Self-motivated yet customer-focused
• Proficient in marketing research and statistical analysis

Qualification:

• Bachelor’s or master’s degree in marketing or a related field
• Proven working experience of 3-5 years in digital/social marketing, particularly in E-commerce company.
• Demonstrable experience leading and managing SEO/SEM, marketing database, and social media advertising campaigns
• Solid knowledge of website and marketing analytics tools (e.g., Google Analytics, NetInsight, Omniture, WebTrends, SEMRush, etc.)
• Working knowledge of ad serving tools
• Experience in setting up and optimizing PPC campaigns on all major search engines

Internshala is a dot com business with the heart of dot org.

We are a technology company on a mission to equip students with relevant skills & practical exposure through internships, fresher jobs, and online trainings. Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake a claim on your place in the world.

At Internshala, we are making this dream a reality!

👩🏻‍💻 Your responsibilities would include-

• Designing, implementing, testing, deploying, and maintaining stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
• Developing analytical tools and programs that can help in Analyzing and organizing raw data
• Evaluating business needs and objectives
• Conducting complex data analysis and report on results
• Collaborating with data scientists and architects on several projects
• Maintaining reliability of the system and being on-call for mission-critical systems
• Performing infrastructure cost analysis and optimization
• Generating architecture recommendations and the ability to implement them
• Designing, building, and maintaining data architecture and warehousing using AWS services.
• ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, Python, C#, and/or similar technologies.
• Disaster recovery planning and implementation when it comes to ETL and data-related services
• Define actionable KPIs and configure monitoring/alerting

🍒 You will get-

• A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
• Awesome colleagues & a great work environment
• Loads of autonomy and freedom in your work

💯 You fit the bill if-

• You have the zeal to build something from scratch
• You have experience in Data engineering and infrastructure work for analytical and machine learning processes.
• You have experience in a Linux environment and familiarity with writing shell scripts using Python or any other scripting language
• You have 3-5 years of experience as a Data Engineer or similar software engineering role