Finance Executive

We are seeking a dynamic and experienced Data Analytics and Data Science Trainer to deliver high-quality training sessions, mentor learners, and design engaging course content. The ideal candidate will have a strong foundation in statistics, programming, and data visualization tools, and should be passionate about teaching and guiding aspiring professionals.

What you will be doing

• Building and maintaining Java micro services.
• Develop new features and improve existing features of the application.
• Coding, Implementing, Unit Testing and Documenting Java based services.
• Design, build, and maintain efficient, reusable, and reliable Java code.
• Code reviews and ensuring adherence to software development standards.
• Contribute to team and organizational improvements in process and infrastructure.
• Participating in requirements gathering and functional specification activities.
• Resolving and helping to mitigate production issues.

What you need to be successful

• Has proven himself as a solid individual contributor and has some initial management ability
• Understands the culture and upholds it
• Well respected with the team
• Looking to grow more as a manager than as an engineer
• Split time b/w hands-on technical work and people management of a small team
• Be a role model for the people in your team
• Responsible for team mentorship, technical planning, resource allocation & project delivery
• Build solid working relationships with counterparts outside engineering
• If we shortlist you for a lead role, then you'll have to mentor SDE-1 towards their SDE-2 journey.
• Progress up to manager in 2-3 years
• Strong Data Structure and Algorithms
• Experience of building micro services architectures, developing RESTful services,continuous integration, unit and integration testing.
• Proficient with SpringBoot, Hibernate, JUnit and other Java frameworks apart from RDBMS and NoSQL databases - PostgreSQL, MongoDB
• Gauge or other BDD frameworks and experience in Fintech would be preferred.

Key Responsibilities:

Answer phones and respond to emails,

providing information or redirecting queries to appropriate departments or personnel.

International Voice Process

Timing: 6.00 pm to 3.00 pm

Only Male Candidate

Job Description: Data Engineer 

Position Overview:

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.

· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).

· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.

· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.

· Ensure data quality and consistency by implementing validation and governance practices.

· Work on data security best practices in compliance with organizational policies and regulations.

· Automate repetitive data engineering tasks using Python scripts and frameworks.

· Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications

· Professional Experience: 5+ years of experience in data engineering or a related field.

· Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.

· AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:

· AWS Glue for ETL/ELT.

· S3 for storage.

· Redshift or Athena for data warehousing and querying.

· Lambda for serverless compute.

· Kinesis or SNS/SQS for data streaming.

· IAM Roles for security.

· Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.

· Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.

· DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.

· Version Control: Proficient with Git-based workflows.

· Problem Solving: Excellent analytical and debugging skills.

Optional Skills

· Knowledge of data modeling and data warehouse design principles.

· Experience with data visualization tools (e.g., Tableau, Power BI).

· Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

· Exposure to other programming languages like Scala or Java.

Education

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Why Join Us?

· Opportunity to work on cutting-edge AWS technologies.

· Collaborative and innovative work environment.

Job Description

The primary role of this position will be to develop rich Mobile applications for a highly accessed and commercial digital content platform based on a high-performance CE device. We are looking for resources with Android and iOS technology skills for user facing application development using TypeScript and JavaScript FW competency. Your primary focus will be on developing application components and implementing them following well-known mobile development workflows.

Responsibilities:

• As an individual contributor understand the requirements, perform detailed design and coding, debugging, testing and release of the given modules.
• Development of new user-facing features using Mobile technologies, re-usable components and front-end libraries.
• Rapid development ability to build and demonstrate quick Mobile driven solutions.
• Work closely within a small team of experienced engineers to produce high-quality software products on a daring schedule.
• Demonstrate professional engineering practices including alignment to coding standards, producing design documentation, and supporting integration.
• Translating design and wireframes into high quality code, with an eye for performance on specific target devices.
• Write unit test and perform functional verification for the responsible modules
• Perform code reviews and sanity checks for the code developed.

Skills:

• Experience with React JS, React Native, JavaScript including DOM Manipulation and JavaScript object model.
• Thorough understanding of any of React Native and its core principles for developing and maintaining Android or iOS applications.
• Good knowledge of HTML5 and CSS
• Experience with modern front-end build pipelines and tools such as Babel, Webpack, NPM, etc.
• Agile Scrum based Development
• Ability to communicate effectively and make effective Presentations
• Solid understanding of MVC and stateless APIs & building RESTful APIs
• Familiarity with code versioning tools such as Git, SVN.

Qualifications:

• Bachelor’s Degree in computer science or related field, and Minimum of 3 years of experience in commercial software development.
• Expertise in object-oriented design methodologies
• Experience working with medium to large scale code bases in small to large groups
• A passion for front end application development

Desirable:

• Timely and committed: Being able to work in a time constrained and demanding environment
• One who likes to push beyond own goals and makes way through challenges!
• Quality-driven, quick learner who is also a team player, can work independently without supervision

Qualifications:*

1. 10+ years of experience, with 3+ years as Database Architect or related role

2. Technical expertise in data schemas, Amazon Redshift, Amazon S3, and Data Lakes

3. Analytical skills in data warehouse design and business intelligence

4. Strong problem-solving and strategic thinking abilities

5. Excellent communication skills

6. Bachelor's degree in Computer Science or related field; Master's degree preferred

*Skills Required:*

1. Database architecture and design

2. Data warehousing and business intelligence

3. Cloud-based data infrastructure (Amazon Redshift, S3, Data Lakes)

4. Data governance and security

5. Analytical and problem-solving skills

6. Strategic thinking and communication

7. Collaboration and team management