Lead - Art Direction (Graphics, Social Media, Digital) Top advertising

Key Responsibilities

Architect and implement enterprise-grade Lakehouse solutions using Databricks

Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

Design large-scale data warehousing solutions with 3NF and dimensional modeling

Establish data governance, security, and data quality frameworks, including Unity Catalog

Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

Provide technical leadership, mentor teams, and ensure successful delivery

Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

10+ years in Data Engineering / Analytics / AI with strong delivery ownership

Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

Strong hands-on experience with: 

Apache Spark (performance tuning & scalability)

Python and SQL

Proven experience in: 

Solution architecture and large-scale data platforms

Data warehousing and advanced data modeling

Batch and real-time processing systems

Experience with: 

Azure Databricks and Azure data services

ML flow and MLOps practices

ServiceNow or enterprise integrations

Exposure to AI technologies (RAG, LLM-based solutions)

Strong stakeholder management and leadership skills

Certifications (Preferred)

Databricks certifications aligned to data engineering and AI tracks, such as: 

Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

Job Title: Lead DevOps Engineer

Experience Required: 8+ years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

8+ years of experience in DevOps or Site Reliability Engineering (SRE).

3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

Strong DevOps /Cloud Engineer Profiles

Mandatory (Experience 1) – Must have 3+ years of experience as a DevOps / Cloud Engineer

Mandatory (Experience 2) – Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)

Mandatory (Experience 3) – Must have strong hands-on experience in Linux administration and system management

Mandatory (Experience 4) – Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes

Mandatory (Experience 5) – Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins

Mandatory (Experience 6) – Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation

Mandatory (Experience 7) – Must be proficient in scripting languages such as Python or Bash for automation

Mandatory (Experience 8) – Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch

Mandatory (Company) – Top tier Product-based company (B2B Enterprise SaaS preferred)

We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions. 

Responsibilities:

Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool) 

Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.

Develop data routes: You design scalable and powerful data management processes.

Analyze data: You derive sound findings from data sets and present them in an understandable way.

Requirements:

Requirements management and project experience: You successfully implement cloud-based data & analytics projects.

Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.

Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).

SQL know-how: You have a sound and solid knowledge of SQL.

Data management: You are familiar with topics such as master data management and data quality.

Bachelor's degree in computer science, or a related field.

Strong communication and collaboration abilities to work effectively in a team environment.

Skills & Requirements

Cloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.

Analyse and understand the JIRA business stories and design the technical solutions.  

• Design, Develop, and evaluate the AWS Cloud based technical solutions.  
• Lead, Track tasks, Oversee, and mentor less experienced team members.  
• Integrate with other SPE proprietary applications using RESTful webservices complying latest industry design and coding standards.  
• Strong Knowledge of technical principles, practices, and procedures to implement and keep SPEs standard complex system solutions.  
• Strong understanding and first-hand experience on agile software development approaches in a fast paced and continuously changing B2B marketing business environment.  
• Working on large scale systems development or integration projects, acting as the Project lead performing analysis and documenting technical requirements, data requirements, data architecture and relationships.  
• Provide subject matter expertise on overall IT solution, system and data flow architecture for Spring based micro services.  
• Provide primary technology support for in-house proprietary B2B projects with supported application platforms.  
• Review & approve Github Pull requests using the existing Application Development Frameworks and Coding Standards. 
• Provide production support in managing the application incidents and priority-based problem resolution. 

We are looking for ambitious and seasoned, self-motivated Microsoft Dynamics 365 Developer.

Job Brief -. Microsoft Dynamics 365 Developer is Involved in all stages of the project life cycle, you will interact directly with clients to identify problems, then propose, develop, implement, and support the solutions. Lead, manage and implement projects in application software and Microsoft Dynamics 365 Customer Engagement (D365 CE) applications. .

1. Implementing, maintaining, and supporting the solutions built for the customers' on the Microsoft Dynamics 365 Customer Engagement.

2. Working with customers' technical, business and management teams to understand them strategy and identify their "must have" requirements, to design and deliver highly complex integrated solutions. Who we are. Headquartered in New Jersey (United States) with satellite offices in Mumbai and Pune (India), Asentech is an innovative technology. company that specializes in health and life sciences advancement of digital marketing and technology enablement at an enterprise-level and individually for brands. Asentech was established in 2007 and over time, our services portfolio has expanded to include. development of large-scale enterprise applications, proprietary technology platforms, campaign orchestration, omni-channel marketing, social media research, listing, Augmented Reality (AR), Virtual Reality (VR), marketing applications and Voice Apps (e.g., xReach.io). Our focus continues to be to form trusted and high valued partnerships with individual brand teams to help deliver differentiated. experiences to physicians, healthcare providers, patients, and caregivers with the goal to increase engagement, sales, and positive outcomes. About Asentech LLC JOB DESCRIPTION FOR THE POSITION OF MICROSOFT DYNAMICS 365 DEVELOPER

3. Design, code, test D365 application modules or related applications according to the technical specification

4. Support the development of test scenarios/scripts and test execution ensuring the application or architecture meets agreed quality standards 5. Close cooperation with client teams and follow up business requirements.

6. Continuous learning of the technology followed by Microsoft Dynamics certification(s) 

• Research, design and build highly reliable, available, and scalable platforms.
• Explore design implications and work towards an appropriate balance between functionality, performance, and maintainability.
• Lead by example, mentor, and guide team members on everything from structured problem solving to development of best practices.
• Own large technical deliverables and execute in an exemplary way
• Be able to conceptualize and develop prototype quickly
• Working with a cross-discipline team (Design, Product, Engineer, Operations, Sales, Marketing).
• Active participation in the hiring process to bring quality engineers in the team. 
• Lead-out team meetings, stand-ups, and architecture/design discussions
• Writing bug-free code, participating in code reviews, designing/architecting systems of varying complexity and scope, and creating high-quality documentation supporting the design/coding tasks
• Identify areas of improvement in our frameworks, tools, processes and strive to make them better.
• Researching new technologies and adapting them to BeyondSkool’s requirements
• Own and commit to all your work, and be accountable for your results
• Using and understanding code from Open-Source projects
• Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people
• Produce highly reliable systems that are thoroughly tested and benchmarked.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric infrastructure that operates 24x7
• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, and deliver with speediness and quality.

• Bachelor's degree in Computer Science or any other relevant field.
• Experience of 5 - 7 years as a back-end engineer preferably in a microservice environment.
• Strong proficiency of Node.js and frameworks available for it such as Express.js
• Strong proficiency in Javascript and TypeScript

• Must have worked building 2+ backend system using node.js and Express.js
• Strong understanding and experience of creating highly scalable and complex database design.
• Good understanding of Data Modeling using RDBMS and NoSQL (Cassandra, MongoDB, ElasticSearch, Redis) data stores
• Strong problem-solving skills with a good understanding of data structures and algorithms
• Strong understanding of front-end technologies, such as HTML5, and CSS3
• User authentication and authorization between multiple systems, servers, and environments
• Experience of creating highly scalable, fault tolerant, resilient distributed systems
• Strong knowledge of creating scalable system design and good understanding of microservice based architectures
• Understanding of caching enabled, PubSub and event driven architectures
• Hands on experience and good knowledge of AWS services
• Understanding automated testing platforms like selenium and unit tests like Chai, Mocha, Jasmine etc
• Proficient understanding of code versioning tools, such as Git
• Curiosity to explore the cutting-edge technologies and bake them in the products.
• Zeal and drive to take end to end ownership.