

Exponentia.ai
https://exponentia.aiAbout
Data is the new Oil and AI is the most powerful value accelerator today - this is one of the most important belief we live by. We are an award-winning AI-Tech MNC transforming businesses through AI, ML and Data Analytics Solutions.
We help organizations solve complex business challenges by combining industry experience, data and AI first engineering practices, and our propriety technology solutions to achieve business outcomes at scale.
Our propriety solutions include - OneTAP for Voice Analytics, Intelligent Nudges, Customer Intelligence Platform and Engagely.ai and we specialise in Data (ML, BI, Cloud, DWH & Data Lakes) and AI Solutions (NLP, Conversational Analytics).
Exponentia.ai was founded in the year 2014 and is headquartered in Mumbai, India. We have expanded our services to the UK, Singapore and US. We’ve been honored with the Innovation Award by Qlik & Excellence in Business Process Automation by Automation Anywhere.
Visit our website- www.exponentia.ai to learn more about our products and services.
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Jobs at Exponentia.ai
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job DescriptionPosition: Sr Data Engineer – Databricks & AWS
Experience: 4 - 5 Years
Company Profile:
Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.
Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.
One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik in 2017.
Get to know more about us on our website: http://www.exponentia.ai/ and Life @Exponentia.
Role Overview:
· A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.
· The role requires good skills in the development of solutions using various services required for data architecture on Databricks Delta Lake, streaming, AWS, ETL Development, and data modeling.
Job Responsibilities
• Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.
• Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.
• Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.
• Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.
Technical Skills
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.
• Proven skill sets in AWS Data Lake services such as - AWS Glue, S3, Lambda, SNS, IAM, and skills in Spark, Python, and SQL.
• Experience in Pentaho
• Good understanding of developing a data warehouse, data marts etc.
• Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.
Personality Traits
• Good collaboration and communication skills
• Excellent problem-solving skills to be able to structure the right analytical solutions.
• Strong sense of teamwork, ownership, and accountability
• Analytical and conceptual thinking
• Ability to work in a fast-paced environment with tight schedules.
• Good presentation skills with the ability to convey complex ideas to peers and management.
Education:
BE / ME / MS/MCA.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Role: Project Manager
Experience: 8-10 Years
Location: Mumbai
Company Profile:
Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are rapidly expanding across machine learning, Data Engineering and Analytics functions. Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.
One of the top partners of Data bricks, Azure, Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik and "Excellence in Business Process Automation Award" (IMEA) by Automation Anywhere.
Get to know more about us at http://www.exponentia.ai and https://in.linkedin.com/company/exponentiaai
Role Overview:
· Project manager shall be responsible to oversee and take responsibility for the successful delivery of a range of projects in Business Intelligence, Data warehousing, and Analytics/AI-ML.
· Project manager is expected to manage the project and lead the teams of BI engineers, data engineers, data scientists and application developers.
Job Responsibilities:
· Efforts estimation, creating a project plan, planning milestones, activities and tracking the progress.
· Identify risks and issues. Come up with a mitigation plan.
· Status reporting to both internal and external stakeholders.
· Communicate with all stakeholders.
· Manage end-to-end project lifecycle - requirements gathering, design, development, testing and go-live.
· Manage end-to-end BI or data warehouse projects.
· Must have experience in running Agile-based project development.
Technical skills
· Experience in Business Intelligence Data warehousing or Analytics projects.
· Understand data lake and data warehouse solutions including ETL pipelines.
· Good to have - Knowledge of Azure blob storage, azure data factory and Synapse analytics.
· Good to have - Knowledge of Qlik Sense or Power BI
· Good to have - Certified in PMP/Prince 2 / Agile Project management.
· Excellent written and verbal communication skills.
Education:
MBA, B.E. or B. Tech. or MCA degree
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