Mitra AI
4 Jobs
About the Company
Revolutionize your applications with Al and data, modernizing cloud solutions to enhance customer experience.
Mitra AI, formerly known as Mitra Innovation, is a forward-thinking company that has undergone a significant transformation to become an AI-centric enterprise. This rebranding highlights Mitra AI's dedication to harnessing artificial intelligence and data to boost productivity for clients across the USA, UK, EU, and APAC regions. With 12 years of experience, Mitra AI has established itself as a trusted partner in various sectors, including insurance, banking, healthcare, and retail.
Core Competencies:
- AI & Data Advisory: We drive innovation and operational excellence by developing comprehensive AI and data strategies tailored to our clients' needs.
- Digital Cloud Engineering: Our expertise ensures scalable, secure, and efficient cloud operations, enabling businesses to thrive in a digital-first world.
- Enterprise Integration: We enhance business agility and security through AI-driven integration solutions, ensuring seamless connectivity across systems.
- Workflow Automation: By leveraging AI-driven automation, we accelerate development cycles, allowing organizations to achieve faster time-to-market and improved efficiency.
Global Reach and Impact:
Mitra AI serves a diverse client base across multiple regions, bringing a wealth of global experience and local insights to every project. Our success is measured by the tangible value we create for our clients, partners, and communities.
Commitment to Excellence:
We are driven by a culture of innovation and a commitment to delivering exceptional results. Our team of experts is dedicated to fostering long-term partnerships and ensuring that our clients are equipped to navigate the complexities of the digital age.
Listed Jobs
- Company Name
- Mitra AI
- Job Title
- Data Tech Lead
- Job Description
-
Job Specific Duties & Responsibilities:
Lead and mentor a team of Data Engineers, ensuring best practices and high-quality delivery
Architect and design scalable, high-performance data solutions on AWS & Databricks
Develop and optimize ETL/ELT workflows using Databricks, PySpark, SQL, and Python
Drive data migration from on-premise to AWS cloud, ensuring data integrity and minimal downtime
Implement data modeling, transformation, and integration strategies for analytics and reporting
Optimize AWS-based data infrastructure, ensuring performance, cost efficiency, and security
Oversee data governance, quality, and compliance to align with business requirements
Work closely with data analysts, scientists, and business stakeholders to define and implement data-driven solutions
Define and enforce best practices for code quality, CI/CD, and automation in data engineering workflows
Stay updated with emerging technologies and drive continuous improvement in data engineering processes
Required Skills, Experience & Qualifications:
10+ years of experience in Data Engineering with a focus on AWS & Databricks
Strong expertise in Databricks (PySpark, SQL, Delta Lake) and AWS services (S3, Glue, Redshift, Lambda, Athena)
Proficiency in Python, SQL, and stored procedures for data transformation
Hands-on experience in large-scale data migration to the cloud
Strong knowledge of data modeling, data warehousing, and analytics
Experience in data integration, transformation, and ETL pipeline optimization
Familiarity with CI/CD for data workflows, DevOps, and automation
Excellent leadership, stakeholder management, and problem-solving skills
- Company Name
- Mitra AI
- Job Title
- Senior Data Engineer
- Job Description
-
Job Specific Duties & Responsibilities:
Develop & optimize ETL/ELT pipelines using Databricks, PySpark, and SQL
Migrate on-premise data to AWS cloud, ensuring integrity and performance
Design and implement scalable data models to support analytics and business intelligence
Manage and develop stored procedures for efficient data processing
Perform data integration & transformation across various cloud and on-prem data sources
Enhance data analytics capabilities by processing and structuring data for reporting
Optimize AWS-based data architecture (e.g., S3, Redshift, Glue, Lambda, Athena)
Ensure data quality, governance, and security across the pipeline
Collaborate with data scientists, analysts, and business teams to drive insights
Required Skills, Experience & Qualifications:
5+ years of experience in Data Engineering with a focus on cloud platforms
Strong expertise in Databricks (PySpark, SQL, Delta Lake)
Proficiency in AWS services (S3, Redshift, Glue, Lambda, Athena, Step Functions)
Advanced skills in Python & SQL, including writing stored procedures
Experience in large-scale data migration to the cloud
Knowledge of data modeling, warehousing, and analytics
Strong experience in data integration, transformation, and ETL pipelines
Understanding of data governance, security, and performance optimization
- Company Name
- Mitra AI
- Job Title
- Senior Data Architect
- Job Description
-
Job Summary:
A Data Architect to manage a critical project for one of our biggest clients in banking domain. The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.
Years of experience needed: 15+ Yrs
Required Skills, Experience and Qualifications:
Senior Data Architect with 15+ years of experience in data modeling in capital markets domain
Experience implementing data model for various capital market instruments like Fixed income, currency, and commodities.
Deep understanding of various systems/application in capital markets domain including front office systems, eFI, eFX, risk and compliance etc.
Experience working with data structures, market feeds, and trading systems
Strong experience with SQL, ETL tools, and cloud technologies (AWS, Azure, GCP)
Prior experience working with NatWest markets
- Company Name
- Mitra AI
- Job Title
- Data Product Owner
- Job Description
-
Job Specific Duties & Responsibilities:
Own and manage the product backlog, defining priorities based on business value and technical feasibility
Translate business needs into functional and technical user stories for development teams
Define and manage ETL processes, data mapping, and transformations across various data platforms
Establish and document data contracts & API definitions, ensuring consistency and integration efficiency
Drive data governance, quality, and compliance initiatives, ensuring accuracy and reliability
Collaborate with banking stakeholders, aligning data solutions with financial regulations and industry standards
Work closely with development teams, providing clarity on requirements and resolving roadblocks
Lead Agile Scrum ceremonies (Sprint Planning, Reviews, Retrospectives, and Daily Stand-ups)
Ensure proper Master Data Management (MDM) practices, improving data consistency and usability
Continuously optimize data platforms, databases, and workflows to enhance performance and usability
Required Skills, Experience and Qualifications:
10+ years of experience in Data Product Ownership or related roles
Strong expertise in product backlog management, requirements gathering, and Agile methodologies
Hands-on experience in ETL processes, data mapping, and data modeling
Deep understanding of data and API contracts, schema definitions, and integrations
Solid knowledge of SQL, data platforms, and databases (RDBMS, NoSQL, MDM, Data Lakes, Data Warehousing)
Experience with data quality frameworks, governance policies, and compliance regulations
Proven experience in the banking sector, with an understanding of financial data, risk, and compliance
Strong stakeholder management, communication, and leadership skills