The data journey
is on. Join Lingaro
in India!

We are a team of leading experts and young talents excelling in the fields of data analytics, business intelligence, big data, artificial intelligence, and more. We are on an exciting journey to solve global technology challenges for the world's biggest companies.

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Join. Learn. Grow

Join. Learn. Grow

our values-driven community

1400+

happy Lingarians on board

30%+

of Lingarians are women

30+

nationalities

7

sites in 6 countries

Lingarozone

  • Diverse, inclusive, friendly, and supportive community united around Core Values
  • According to a survey, 94% of Lingarian respondents would recommend working here
  • A truly international setting with 7 offices in 6 countries

Join. Learn. Grow

with a can-do attitude

20+

certified technology partnerships

10

Competency Centers

150+

training sessions every year

  • Work with and learn from top experts solving global data challenges
  • Experience technical excellence by applying 80+ technologies to real-world challenges
  • 50+ Microsoft Competency Center meetings per year
  • Lingarians earned 150+ new cloud technology certifications in 2020
  • Great community support along your learning path!

Join. Learn. Grow

as you shape the data-driven world

Progress

  • The world is on exciting journey to the data economy. At Lingaro, you'll help drive it!
  • Our solutions deliver value in more than 30 countries
  • We work with global enterprises
  • Join if making an impact and solving key global data challenges sound exciting

Job Openings

Select Category:

  • All
  • Business
  • IT
  • Office

AI/ML Engineer

AI Engineering is a new domain that combines knowledge from areas of Data Science, DevOps, Architecture and Infrastructure. The main goal of AI Engineer is to support Data Science teams in taking models into production, automating model life cycle and end-to-end solution architecture. Are You engineer in area of cloud, DevOps or general software architecture and want to work in projects related to Data Science? Are You a data scientist and wants to focus on automating model creation, deploying and maintaining large scale ML systems? Or maybe You already are AI Engineer and want to bring Your MLOps experience to our projects? If so, this is the right place to be!

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Data Scientist

The team focuses on projects related to automating/improving business process via use of Machine Learning & AI, as well as developing new, non-trivial and innovative solutions. We are developing Computer Vision solutions ranging across: Customized OCRs, Image & Video analytics, and image generation. Example projects in this area: image classification, object detection, object classification.

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Lead Data Scientist

As a Lead Data Scientist , you will become a part of Data Science & Optimization Team working within DS&AI competency. You will be responsible for delivering E2E projects, from POCs to scaling up existing solutions, mostly in Supply Chain area for Top500 FMCG companies

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Senior Azure Data Engineer

Azure Data engineering encompasses multiple toolsets and architectural concepts across on-premises and cloud stacks, including but not limited to data warehousing, data lakes, lake house, data mesh, and includes extraction, ingestion, and synchronization of structured and unstructured data across the data ecosystem

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L2 Support Specialist - SQL

Includes the activities, processes and practices involved in managing and maintaining the operational aspects of an organization’s It infrastructure and systems. It focuses on ensuring the smooth and reliable operation of IT services, infrastructure components and supporting systems in the Data & Analytics area.

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Lead GCP Data Engineer

You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery) Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients.

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Senior GCP Data Engineer

You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery) Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients.

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Lead Data Engineer - Azure

It focuses on the technical aspects of data processing, integration, and delivery to ensure that data is accurate, reliable, and accessible in a timely manner. It also focuses on the scalability, cost-effectiveness, security, and supportability of the solution through Azure

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Data Quality Consultant

Stay abreast of industry trends and emerging technologies related to data quality. Propose innovative solutions to enhance data quality processes. Experiment with novel approaches and tools to optimize data quality outcomes.

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Project Manager

Prior experience as Project Manager withery good familiarity with project management software tools, methodologies, frameworks and best practices .Knowledge of how to work in Agile project Understanding of business objectives and how to set up a project so it can be executed within the timeframe and budget .Providing project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress .Understanding of the capabilities and limitations of modern technologies

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L3 Support Specialist

Includes the activities, processes and practices involved in managing and maintaining the operational aspects of an organization’s It infrastructure and systems. Expertise and well-versed in Python & Knowledge of the Azure ecosystem

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Data Architect

Proven experience as a Data Architect or in a similar role, ideally in a complex organizational setting. Strong understanding of data management principles, data modeling techniques, database design and data integration flows.

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Data Engineering Tech Lead - GCP

Acting as a Senior Consultant/Solution Advisor. Will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery). Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients.

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Environmental Analytics Business Expert

Experience in environmental analytics, consulting, or a related field, with a demonstrated track record of delivering results.: Lead initiatives in analyzing environmental data related to carbon footprint, water usage, and adherence to CSR and US SEC standards.

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Solution Architect - Cloud

Prior experience as Solutions Architect in multi cloud environment. Involving in building and integrating Data and Analytics information systems to meet the company’s needs. Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it.

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Meet some of your future colleagues...

Background

Our Ecosystem Partners

Solution Integrations and Technology Expertise

Public Cloud Providers for D&A

Specialized Data Platforms and Processing Technologies

Data Visualization

Data Management and Governance

Data Science and AI