Automation Engineer

🚀 Hiring: Data Engineer ( Azure )

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

• Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)
• Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing
• Develop Structured Streaming pipelines with watermarking, late data handling & restart safety
• Implement declarative pipelines using Lakeflow
• Design idempotent, replayable pipelines with safe backfills
• Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)
• Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications
• Package and deploy using Databricks Repos & Asset Bundles (CI/CD)
• Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

1. Databricks & Delta Lake (Advanced Optimization & Performance Tuning)
2. Structured Streaming & Autoloader Implementation
3. Databricks SQL (DBSQL) & Data Modeling for Analytics

Salesforce Program Manager

Experience - 7+ years 

Shift Timings: 2 to 11 PM IST  

Location : Remote 

Job Description 

Mandatory Requirements: 

●7–10 years of Program Management experience 

●Ability to manage 3–5 accounts concurrently 

●Strong stakeholder management and cross-functional coordination skills 

●Excellent verbal and written communication skills 

●Expert-level proficiency in Jira and Advanced Jira reporting/dashboards 

●Good understanding of Salesforce ecosystem, modules, and integrations 

●Experience managing project teams, budgets, schedules, and delivery governance 

●Ability to work in fast-paced, high-energy environments and multitask under pressure 

●Experience leading UAT, managing test cycles, and collaborating with remote teams 

●Strong negotiation, conflict management, and leadership skills 

Optional Requirements: 

●Agile SCRUM Master Certification 

●PMP Certification 

●Salesforce.com Certifications (Admin, Sales, Service, Marketing, etc.) 

 ROLES AND RESPONSIBILITIES: 

●Create, maintain, and track project plans, schedules, and progress updates. 

●Ensure on-time and on-budget delivery while adhering to project governance and gates. 

●Track resource utilization, timesheet compliance, and alignment with budget allocations. 

●Lead and manage day-to-day execution of Salesforce-related project implementations. 

●Facilitate requirement-gathering sessions, documentation, and project deliverable creation. 

●Manage customer communication as the primary interface throughout the project lifecycle. 

●Support end-to-end implementation activities including project planning, issue/risk 

management, communication, and change management. 

●Conduct review sessions with clients and internal teams at key stages of the project. 

●Prepare and/or review test scripts for QA and UAT cycles; manage UAT execution and sign-off. 

●Develop user enablement materials such as user guides and training documentation. 

●Drive process improvements by leveraging Salesforce and business domain expertise. 

●Build trusted advisor relationships with stakeholders; provide product roadmap insights. 

●Lead conversations around scope, timelines, budget, risks, and escalations. 

●Manage remote development teams working across different time zones. 

●Adopt standardized development lifecycle processes across projects. 

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases .

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

• 5+ years of software development experience including 4+ years of deep, hands on experience in building highly scalable web-based backend applications using Java and Spring ecosystem
• BE/BTech in Computer Science or a related field or equivalent practical experience
• Great problem-solving skills with solid data structures and algorithms knowledge
• Has extensively used the Spring ecosystem – Spring Boot, REST API Development, ORM tools like Hibernate
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Profound insight of Java and JEE internals (Class loading, Multi-Threading, Memory Management, Transaction management etc)
• Experience of coaching and mentoring junior developers with good delegation and time-management skills
• Implemented CI/CD in any of the projects done
• Strong understanding of Agile and Lean software development processes and practices
• Excellent knowledge and hands-on experience of Elastic Search
• Has designed relational databases; conversant with SQL
• Knowledge of Jenkins/ Docker and Devops
• Knowledge of Redis or similar technology
• Worked with some or all of these AWS services: EC2; lambda; SQS/SNS; Elastic Search, Transcoder
• Understanding and experience of building services and applications using principles of service-oriented architecture, preferable using REST or SOAP
• Contributed in the creation of end-to-end automation tests (functional or non-functional)
• Worked with WebSocket, Push notifications etc

• Experience in ELK stack
• Knowledge of Video tools like FFMPEG, Wowza / Node Media Streaming
• Understanding of different video formats, streaming, CDN etc
• Understanding of Machine Learning Models, Pipelines etc

Who Are We?

Mobikon is a leading AI-driven Consumer Engagement and Predictive Analytics SaaS platform to Engage Customers, Gain Insights, Predict Behaviors, and Increase Sales for the F&B industry. It’s cloud-based platform is designed to simplify and streamline the CRM functions of running a successful restaurant by providing true closed loop, customer lifecycle marketing, off-line to online targeting and business intelligence.

Mobikon started as a small team of 6 people and has since grown to a team of 150 people in 7 offices in Asia, Australia and America. Today, over 700 brands in 5 countries use Mobikon's solutions to improve interaction with customers and boost revenues. Its proprietary platform has engaged over 12.3 million consumers in 9 countries and has powered more than 5 million in-store reviews.

Who Are You?

Highly motivated solution-oriented individual with outstanding attention to detail, and primary role is to interface with Product Management, Software Development, Product Support and CEO Staff. Enjoy working in a fast-paced and constantly changing startup environment. As part of a team, you'll have to constantly innovate to reduce manual testing, increase test coverage and improve QA processes, all the while delivering on high-quality releases.Great communicator who values being part of a close-knit team and a collaborative atmosphere.

You Will Own:

• Understand product workflows and identifying use cases.
• Maintain a document repository of new feature sets in the product.
• Creating effective test plans, test cases and execute them.
• Minimize manual testing by identifying high ROI test cases and help in automating them.
• Make recommendations to improve product reliability, code coverage, performance, and quality assurance best practices/processes.
• Track multiple projects/tasks simultaneously.
• Develop formal QA processes and integrate them into our current Agile SDLC process
• Collaborate with the development team to ensure overall quality of our online platform
• Collaborate with Technical support to prioritize and resolve bugs, manage feature requests and reduce tech support by process efficiency and training
• Defect tracking and management, Test Management and STLC activities.
• Manage a team of manual and automation engineers

You Have:

• Engineering degree in computer science or equivalent.
• Minimum of 5 yrs of experience in Quality Assurance.
• Should have 1 yr of experience in Automation.
• Minimum 2-3 yrs of solid experience in team management and business deliverables is a must for this position.
• Must have a product-based experience.
• Strong SQL/database knowledge.
• Excellent analytical problem-solving skills and breakthrough attitude
• Proven track record of working with product management, and developers in an agile environment.
• Experience using programming languages (for e.g. Selenium, Perl Python, Java, Ruby) to automate manual test cases and tasks.
• Very high ethical standards.
• Must be articulate, organized, detail-oriented, and the ability to multi-task.
• Must have exposure to startup industries.