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- Strong understanding and development experience with Golang.
- Good experience with programming languages like Java or Python(anyone of them).
- Should have experience in C & C++ programming.
- Has built basic Docker containers and hands on experience on Kubernetes.
- Good knowledge with any of the Cloud Platform like Azure or AWS.
- Must be comfortable working in a Linux environment.
- Exposed into IOT domain and its protocols.
- Must be a good team player.
- Strong Communication Skills.


About this roleWe are seeking an experienced MongoDB Developer/DBA who will be
responsible for maintaining MongoDB databases while optimizing performance, security, and
the availability of MongoDB clusters. As a key member of our team, you’ll play a crucial role in
ensuring our data infrastructure runs smoothly.
You'll have the following responsibilities
Maintain and Configure MongoDB Instances - Responsible for build, design, deploy,
maintain, and lead the MongoDB Atlas infrastructure. Keep clear documentation of the
database setup and architecture.
Ownership of governance, defining and enforcing policies in MongoDB Atlas.Provide
consultancy in drawing the design and infrastructure (MongoDB Atlas) for use case.
Service and Governance wrap will be in place to restrict over provisioning for server size,
number of clusters per project and scaling through MongoDB Atlas
Gathering and documenting detailed business requirements applicable to the data
layer.Responsible for designing, configuring and managing MongoDB on Atlas.
Design, develop, test, document, and deploy high-quality technical solutions on the
MongoDB Atlas platform based on industry best practices to solve business needs.
Resolves technical issues raised by the team and/or customer and manages escalations as
required.
Migrate data from on-premise MongoDB and RDBMS to MongoDB AtlasCommunicate
and collaborate with other technical resources and customers in providing timely updates
on status of deliverables, shedding light on technical issues, and obtaining buy-in on
creative solutions.
Write procedures for backup and disaster recovery.
You'll have the following skills & experience
Excellent analytical, diagnostic skills, and problem-solving skills
Should understand the Database concept and develop expertise in designing and
developing NoSQL databases such as MongoDB
MongoDB query operation, import and export operation in database
Experience in ETL methodology for performing Data Migration, Extraction,
Transformation, Data Profiling and Loading
Migrating database by ETL, migrating database by manual process and designing,
development, implementation
General networking skills, especially in the context of a public cloud (e.g. AWS – VPC,
subnets, routing tables, nat / internet gateways, dns, security groups)
Experience using Terraform as an IaC tool for setting up infrastructure on AWS
CloudPerforming database backups and recovery
Competence in at least one of the following languages (in no particular order): Java, C++,
C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go
Excellent communication skills, often being able to compromise but draw out risks and
constraints associated with solutions. Be able to work independently and collaborate with
other teams
Proficiency in configuring schema and MongoDB data modeling.
Strong understanding of SQL and NoSQL databases.
Comfortable with MongoDB syntax.
Experience with database security management.
Performance Optimization - Ensure databases achieve maximum performance and
availability. Design effective indexing strategies.
Java Developer Requirements
· Minimum 7 to 15years of experience in Java/J2EE
· Outstanding skills in Java Struts, JSP, Hibernate
· Capability to understand DB design, SQL queries
· Experience in JavaScript, JQuery, JSON and AJAX
· Strong Object Oriented Analysis and Design skills
· Knowledge in source version control such as GIT
· Understanding on Agile methodologies
No of Opening: 7
Location: Chennai/Madurai (WFO)
· Degree in Computer Science or related field.
· Experience with user interface design, database structures, and statistical analyses.
· Analytical mind-set and good problem-solving skills.
· Excellent written and verbal communication.
· Good organizational skills.
· Ability to work as part of a team.
· Attention to detail.


Location:Bangalore / Chennai
Type: Permanent
Company Type: AI / Digital Product Design Service based
Job Description
* Experience in C/C++ and have strong experience embedded application development and integration in Linux
* Good in creating unit tests, performing code reviews, optimizing performance and ensuring standards for maintainability
* Debugging, profiling, and performance optimization skills
* Have experience working in a fast paced Agile/Scrum environment
The ideal candidate will be responsible for designing, developing, testing, and debugging responsive web applications for the company. Using Angular / React / JavaScript this candidate will be able to translate user and business needs into functional frontend design.
Responsibilities
- We use React for web application.
- Designing, developing, and testing UI for mobile and web applications
- Build reusable code and libraries for future use
- Accurately translate user and business needs into functional frontend code
Qualifications
- 3+ years' experience in frontend development
- Experience building mobile/web applications using Angular or React or JavaScript.
- Key responsibility is to design & develop a data pipeline for real-time data integration, processing, executing of the model (if required), and exposing output via MQ / API / No-SQL DB for consumption
- Provide technical expertise to design efficient data ingestion solutions to store & process unstructured data, such as Documents, audio, images, weblogs, etc
- Developing API services to provide data as a service
- Prototyping Solutions for complex data processing problems using AWS cloud-native solutions
- Implementing automated Audit & Quality assurance Checks in Data Pipeline
- Document & maintain data lineage from various sources to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Skills
- Programming experience using Python & SQL
- Extensive working experience in Data Engineering projects, using AWS Kinesys, AWS S3, DynamoDB, EMR, Lambda, Athena, etc for event processing
- Experience & expertise in implementing complex data pipeline
- Strong Familiarity with AWS Toolset for Storage & Processing. Able to recommend the right tools/solutions available to address specific data processing problems
- Hands-on experience in Unstructured (Audio, Image, Documents, Weblogs, etc) Data processing.
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Real-time Event Processing
- Data Governance & Quality assurance
- Containerized deployment
- Linux
- Unstructured Data Processing
- AWS Toolsets for Storage & Processing
- Data Security


- Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.
- The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.
- The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
- Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.
6 Years - 10 Years
Analytics
- Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform

2. Following best practices in code quality
3. Working on version management

REQUIREMENT:
- Previous experience of working in large scale data engineering
- 4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
- Previous experience of architecting and designing backend for large scale data processing.
- Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
- Hands-on and have the ability to contribute a key portion of data engineering backend.
- Self-inspired and motivated to drive for exceptional results.
- Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
- Familiarity and experience working with different DB technologies and how to scale them.
RESPONSIBILITY:
- End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
- Build data engineering workflow for large scale data processing.
- Discover opportunities in data acquisition.
- Bring industry best practices for data engineering workflow.
- Develop data set processes for data modelling, mining and production.
- Take additional tech responsibilities for driving an initiative to completion
- Recommend ways to improve data reliability, efficiency and quality
- Goes out of their way to reduce complexity.
- Humble and outgoing - engineering cheerleaders.


As part of the role, the Developers / Senior Developers will be responsible for Design, Coding, and Integration while meeting the quality targets set for the project. The Tech Leads will be additionally responsible for Estimation, Architecture, Design, Technical Reviews, Customer Interaction, Building, and Mentoring a talented team of Engineers
Knowledge & Skills:
- Technical Experience on Physical Layer of 3GPP LTE
- Experience on DSP Development\
- Proficient in C Good
- understanding of Wireless Communications
- Experience on MAC-PHY interface
- Behavioral Interpersonal skills & Ability to work in team
- Good Communication Skills Good Analytical Skills
Desired Skills and Experience:

