11+ Financial software Jobs in India

Location: MBFC / Command Center, Changi Business Park, Singapore

Duration: 12 Months Renewable Contract

Description

• We are looking for highly motivated and experienced individuals to join our client as Application/Production Support Analyst supporting banking systems and applications.

Mandatory Skill(s)

• Degree in Computer Science, Business Information Technology or related disciplines;
• 3-5 years of experience providing support to business systems and applications in banking or financial service sectors;
• Possesses good knowledge on Site Reliability Engineering best practices and experience adhering to Site Reliability Engineering guidelines in the work;
• Able to troubleshoot and provide solutions for technical issues and routes to appropriate escalation groups;
• Good analytical skills with excellent communication; 
• Good in understanding internal processes and resolving issues;
• Should have keen interest in providing high service quality and familiar with the demand of a 24×7 support environment.

Desirable Skill(s)

• Prior experience in the banking industry;
• Experience in application implementation projects in financial institutions would be a great advantage.

Responsibilities

• Perform work in rotational shifts to provide 24/7 on-site or on-call support;
• Responsible for health-check, continuous L1 and L2 support and rectification for mission critical Web-based applications; 
• Responsible for the day-to-day maintenance of the application systems in operation;
• Handle Incident and Problem management;
• Work closely with key stakeholders, including management, development teams, end users, and unit leaders and communicate application problems and issues;
• Provide root cause analysis techniques to determine cause and resolve complex system issues or escalate to application managers and the management team;
• Involve with onsite and offshore teams across multiple technologies/applications;
• Lead formal and informal Post Event Problem Reviews;
• Actively involved in Continuous improvement of the system such as removal of TOIL, job automation, performance, tuning;
• Proactive management of production services by measuring and monitoring availability, latency, throughput, user journeys and overall system health.

Designation: Android Developer

Location: Bangalore/Bhopal

Experience – 3 to 6

Job Type: Full Time

Job Description:

We are seeking a skilled Android Developer to join our team. The ideal candidate will have extensive experience in developing, deploying, and maintaining Android applications. The role requires proficiency in Java and Kotlin, expertise in payment gateway integration, and the ability to support multiple languages within the app. If you have successfully deployed multiple apps on the Play Store and can manage end-to-end development, we want to hear from you.

Responsibilities:

·       Lead the development lifecycle from concept to deployment, ensuring high performance and responsiveness.

·       Write clean, maintainable, and efficient code using Java and Kotlin.

·       Implement and maintain secure payment gateway solutions to facilitate transactions within the app.

·       Manage deployment processes, ensuring smooth and efficient delivery of applications.

·       Integrate and maintain support for multiple languages to ensure the app is accessible to a global audience.

·       Manage the process of uploading and maintaining applications on the Google Play Store, ensuring compliance with all guidelines and policies.

·       Work closely with designers, product managers, and other developers to deliver high-quality applications.

·       Conduct rigorous testing to identify and fix bugs, ensuring a smooth user experience.

·       Stay updated with the latest industry trends, technologies, and best practices to continuously improve the app development process.

Requirements:

·       Proficiency in Java and Kotlin.

·       Android app development using Jetpack Compose.

·       Knowledge of state management, navigation, and UI best practices in Compose.

·       Experience with payment gateway integration.

·       Ability to support and manage multiple languages within the app.

·       Proven track record of deploying and maintaining at least 5 apps on the Google Play Store.

·       Strong understanding of mobile UI/UX principles.

·       Familiarity with RESTful APIs to connect Android applications to back-end services.

·       Experience with version control systems (Git).

·       Excellent problem-solving skills and attention to detail.

·       Strong communication and collaboration skills.

Strong Senior UI/UX Product Designer profile – IC Role in B2C Mobile Apps

Mandatory (Experience 1): 4+ YOE as a Product Designer, UI/UX Designer, or Mobile App Designer with strong IC ownership in tech/startup environments

Mandatory (Experience 2): Strong experience as a Fullstack Product Designer (UI + UX) for Mobile Apps (especially Android)

Mandatory (Core Skill 1): Must be highly proficient in Figma - able to create wireframes, user flows, high-fidelity mockups, and micro-interactions from scratch

Mandatory (Portfolio): Strong UI/UX portfolio of B2C Mobile Apps; Portfolio should reflect strong UI, Interaction, Visual Design skills (UI Heavy portfolio) (preferably launcher/utility/feed-driven apps)

Mandatory (Company): B2C product companies

Mandatory (Exclusion): Payment gateway companies

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

● Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

● Thorough understanding of React.js and its core principles

● Experience with popular React.js workflows (such as Flux or Redux)

● Familiarity with newer specifications of EcmaScript as well as HTML and CSS

● Experience with data structure libraries (e.g., Immutable.js)

● Working knowledge and integration knowledge with RESTful APIs

● Knowlegde of websockets implementation is a must.

● Knowledge of modern authorization mechanisms, such as JSON Web Token

● Familiarity with modern front-end build pipelines and tools

● Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

● Ability to understand business requirements and translate them into technical requirements.

● A knack for benchmarking and optimization

● Familiarity with code versioning tools {such as Git}

● Added advantages if you have working knowledge of AWS

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• Must Have 3-4 Experience in SSIS, Mysql
• Good Experience in Tableau
• Experience in SQL Server.
• 1+ year of Experience in Tableau
• Knowledge of ETL Tool
• Knowledge of Dataware Housing