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consulting & implementation services in the area of Oil & Gas, Mining and Manufacturing Industry

- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools


Preferred Education & Experience: •
Bachelor’s or master’s degree in Computer Engineering,
Computer Science, Computer Applications, Mathematics, Statistics or related technical field or
equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.
• Well-versed in DevOps principals & practices and hands-on DevOps
tool-chain integration experience: Release Orchestration & Automation, Source Code & Build
Management, Code Quality & Security Management, Behavior Driven Development, Test Driven
Development, Continuous Integration, Continuous Delivery, Continuous Deployment, and
Operational Monitoring & Management; extra points if you can demonstrate your knowledge with
working examples.
• Hands-on experience with demonstrable working experience with DevOps tools
and platforms viz., Slack, Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory,
Terraform, Ansible/Chef/Puppet, Spinnaker, Tekton, StackStorm, Prometheus, Grafana, ELK,
PagerDuty, VictorOps, etc.
• Well-versed in Virtualization & Containerization; must demonstrate
experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox,
Vagrant, etc.
• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate
experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in
any categories: Compute or Storage, Database, Networking & Content Delivery, Management &
Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstratable Cloud
Platform experience.
• Well-versed with demonstrable working experience with API Management,
API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption, tools &
platforms.
• Hands-on programming experience in either core Java and/or Python and/or JavaScript
and/or Scala; freshers passing out of college or lateral movers into IT must be able to code in
languages they have studied.
• Well-versed with Storage, Networks and Storage Networking basics
which will enable you to work in a Cloud environment.
• Well-versed with Network, Data, and
Application Security basics which will enable you to work in a Cloud as well as Business
Applications / API services environment.
• Extra points if you are certified in AWS and/or Azure
and/or Google Cloud.
Required Experience: 5+ Years
Job Location: Remote/Pune
We are looking for an experienced Senior Java Developer to join our dynamic development team. You will be responsible for designing, developing, and deploying scalable, cloud-native micro-services using Java, Spring Boot, and AWS. The ideal candidate is passionate about clean code, solid architecture, and robust automation with a strong understanding of cloud-native development, testing, and event-driven systems.
Key Responsibilities:
- Design and develop robust backend solutions using Java 11+/17 and Spring Boot.
- Build, test, and maintain scalable microservices in a cloud environment (AWS).
- Work with Kafka or other messaging systems for event-driven architecture.
- Write clean, maintainable code with high test coverage using.
Location: Aundh, Pune
Experience: 6+ years
Job Type: Full-Time
Work Mode: Onsite
Industry: FinTech / Healthcare / E-commerce
Responsibilities:
- Coordinate with clients and coordinate with team members to carry out configurations and initial instance setup.
- Understand client scenarios and suggest standard configurations
Skills Required:
- You would bring in excellent communication skills
- Excellent aptitude and analytical skills
- Strong interpersonal skills and interactive skills



- Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
- Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
- Own the end-end process, from recognizing the problem to implementing the solution.
- Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
- Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.
Skills and Qualification
- 12 to 15 yrs of experience.
- An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
- Experience with text mining, parsing, and classification using state-of-the-art techniques.
- Experience with information retrieval, Natural Language Processing, Natural Language
- Understanding and Neural Language Modeling.
- Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
- Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
- Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
- Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Calling to understand requirements
Prepare and sending quotations
Maintain and tracking of sales funnel
Maintaining CRM /LMS
Exp : 3 to 10 Years
Required Skills:
- Hands-on experience in installing, configuring and upgrading AAEP, POM, Speech solutions for global customers.
- Knowledge on integration of AAEP, POM, Speech servers with other adjunct and UC solutions.
- Well versed with Linux commands.
- Knowledge in deploying VMWare/OVA would be added advantage.
- Knowledge on Avaya product like CM, SM, SMGR, WebLM, Call center routing etc. would be added advantage.
- Installation, upgrade and integration AAEP, POM, Speech servers for global customers especially in USA.
- Testing and troubleshooting as required.
- Good planning & analytical skills and ability to communicate effectively with global customers. Work under pressure and deliver on customer timelines.
- Implementation and testing will require to be done during customer approved maintenance windows in the respective countries or regions. Will require late night work during implementation & testing.
- Good written and verbal communication skills
- Must have experience working with global customer
- Self-starter and capable of working independently
- Quick learning ability to learn future skills as per business requirement
- Able to work in flexible hours (including late India night and early morning) to support global customers in North America region
LINC Education (www.linceducation.com), based in Singapore, is a global pioneer in providing high-touch, high-quality educator-led support services to universities around the world. Its specialist services are highly sought after by university managements and faculty to retain and grow their online student enrolments. LINC’s services are customized for each university, and delivered using a cutting-edge technology platform (LINCtrac) to provide a superior and effective learning experience to students.
LINC is managed by education sector professionals with more than 30 years of combined experience and overseen by an advisory board of the best academic professionals in the world. Dr. M Rammohan Rao (ex-Dean, Indian School of Business and ex-Director, IIM Bangalore) and Deepak Chandra (Secretary – Education, Rajiv Gandhi Foundation and ex-Deputy Dean, Indian School of Business) are members of the LINC Board of Advisors.
Position Summary
As an experienced Business Faculty Member (LINC Fellow), the candidate will serve students in Masters-level programs studying at premier Australian universities. LINC Fellows will be the single point-of-contact for the unit-in-charge for student academic matters.
- The role will be part time (15-20 hours per week) with scheduled weekend availability.
- LINC Fellows will be “actively engaged” when a unit (subject) is assigned. A unit will range from 7 to 14 weeks at a time.
- LINC Fellows are required to provide 2-3 hrs each afternoon (between noon to 5pm) every day when they are supporting students.
- Candidate will have flexibility to work from location of his/her convenience.
What’s on offer?
The role offers a competitive remuneration between INR 30,000-50,000 per month (based on committed weekly time, batch size and experience level of the LINC Fellow) when actively engaged, plus performance-based incentives.
The position is based out of Mumbai, Pune, NCR and Bangalore.
The professional benefits include:
- Interacting with high-quality global university faculty
- Working with a diverse range of international students
- Developing deeper subject understanding
- Gaining richer academic exposure
- Improving interpersonal and cross-cultural skills
Desired candidate profile:
- PG/Doctoral degree with distinction or first-class from a top university in India
- 5-10 years of corporate experience and/or teaching experience in the fields like Marketing, Finance, Operations, Organization/HR, Data Analytics, Project Management, Strategy and Ethics at a leading university or college (note: at least 1 year formal teaching experience at a university of college is a MUST).
- Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse culture
- Proficient in English language
- Must possess a working laptop and have access to high-speed (>2 MBPS) stable internet connection
- Ability to quickly learn and use technology platforms for interacting with student including host university’s Learning Management System and LINC's technology platform (training on these platforms will be provided)
Job Type: Part-time
Salary: ₹30,000.00 to ₹50,000.00 /month