Key Responsibilities Design, develop, and maintain scalable and high-performance web applications using Python/ReactJS/.Net Collaborate with UI/UX designers, product managers, and other developers to define and implement new features. Write clean, modular, and maintainable code with proper documentation. Build and integrate RESTful APIs and third-party services. Ensure application performance, quality, and responsiveness. Participate in code reviews, unit testing, and deployment activities. Troubleshoot issues, identify bottlenecks, and provide solutions in a timely manner. Required Skills & Experience 5+ years of professional experience as a Full Stack Developer. Strong proficiency in Python (Django or Flask) and .Net (.Net Core or ASP.Net MVC) for backend development. Hands-on experience with ReactJS for frontend development. Solid understanding of RESTful APIs , JSON, and web services. Proficiency with databases such as PostgreSQL, MySQL , or SQL Server . Familiarity with DevOps practices and version control tools like Git . Good understanding of CI/CD pipelines , Docker , and cloud platforms (AWS/Azure/GCP) is a plus. Excellent problem-solving and debugging skills. Strong communication and team collaboration skills. Nice to Have Experience in microservices architecture. Experience of working in Financial / Energy Market

Key Responsibilities: - Design, develop, and deploy scalable Tableau dashboards. - Engage with business users to gather requirements and convert them into visual solutions. - Optimize performance of Tableau workbooks and implement advanced dashboard techniques. - Provide technical leadership and mentor junior analysts as needed. Requirements: - 7+ years of experience in data visualization and BI development. - Advanced Tableau skills with Tableau Certified Professional certification (highly preferred). - Proficient in data storytelling and UX principles for dashboards. - Strong analytical and problem-solving skills. - Experience in SQL and integrating data from multiple sources. Bonus Points: - Exposure to Snowflake, Databricks, or other cloud platforms. - Immediate joiners are preferred and eligible for a joining bonus.

Key Responsibilities Design, develop, and maintain scalable and high-performance web applications using Python/ReactJS/.Net Collaborate with UI/UX designers, product managers, and other developers to define and implement new features. Write clean, modular, and maintainable code with proper documentation. Build and integrate RESTful APIs and third-party services. Ensure application performance, quality, and responsiveness. Participate in code reviews, unit testing, and deployment activities. Troubleshoot issues, identify bottlenecks, and provide solutions in a timely manner. Required Skills & Experience 5+ years of professional experience as a Full Stack Developer. Strong proficiency in Python (Django or Flask) and .Net (.Net Core or ASP.Net MVC) for backend development. Hands-on experience with ReactJS for frontend development. Solid understanding of RESTful APIs , JSON, and web services. Proficiency with databases such as PostgreSQL, MySQL , or SQL Server . Familiarity with DevOps practices and version control tools like Git . Good understanding of CI/CD pipelines , Docker , and cloud platforms (AWS/Azure/GCP) is a plus. Excellent problem-solving and debugging skills. Strong communication and team collaboration skills. Nice to Have Experience in microservices architecture. Experience of working in Financial / Energy Market

Required Skills & Qualifications: • Education: Bachelors degree in computer science, Information Technology, Engineering, or a related field. • Experience: 7+ years of experience in data engineering, with at least 2 years working with GCP. • Technical Skills: Proficiency in GCP services: Big Query, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Functions. Strong programming skills in Python, SQL, Pyspark and familiarity with Java/Scala. Experience with orchestration tools like Apache Airflow. Knowledge of ETL/ELT processes and tools. Experience with data modeling and designing data warehouses in Big Query. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of data governance, security, and compliance. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work in a fast-paced environment and manage multiple priorities. Preferred Qualifications: • Certifications: GCP Professional Data Engineer or GCP Professional Cloud Architect certification. • Domain Knowledge: Experience in finance, e-commerce, healthcare domain is a plus.

Key Responsibilities: Design and develop test plan and test cases from user stories. Perform manual testing using test management tools like qTest Design, develop, and maintain robust automated test scripts for Pega UI and related components. Collaborate with development, QA, and product teams to understand requirements and translate them into test cases. Build and maintain test automation frameworks using Java, Selenium WebDriver, and TestNG. Execute regression, smoke, and functional tests as part of CI/CD pipelines. Perform test result analysis, defect reporting, and root cause analysis. Work closely with DevOps teams to integrate automation into build and deployment processes. Ensure test coverage, documentation, and best practices are followed. Required: Design and develop test plan and test cases from user stories. Perform manual testing using test management tools like qTest Design, develop, and maintain robust automated test scripts for Pega UI and related components. Collaborate with development, QA, and product teams to understand requirements and translate them into test cases. Build and maintain test automation frameworks using Java, Selenium WebDriver, and TestNG. Execute regression, smoke, and functional tests as part of CI/CD pipelines. Perform test result analysis, defect reporting, and root cause analysis. Work closely with DevOps teams to integrate automation into build and deployment processes. Ensure test coverage, documentation, and best practices are followed. Good to have: Performance Testing using Load Runner CI/CD using Team City ISTQB certification Banking Domain experience Pega UI interface experience. Banking Domain Pega UI Platform ISTQB or similar testing related certifications

Mandatory Skills & Experience: 6 to 8 years of experience in data engineering, with strong experience in Oracle DWH/ODS environments. Minimum 3+ years hands-on experience in Databricks (including PySpark, SQL, Delta Lake, Workflows). Strong understanding of Lakehouse architecture, cloud data platforms, and big data processing. Proven experience in migrating data warehouse and ETL workloads from Oracle to cloud platforms. Experience with PL/SQL, query tuning, and reverse engineering legacy systems. Exposure to Pentaho and/or TIBCO Data Virtualization/Integration tools. Experience with CI/CD pipelines, version control (e.g., Git), and automated testing. Familiarity with data governance, security policies, and compliance in cloud environments. Strong communication and documentation skills. Preferred Skills (Advantage): Experience in cloud migration projects (AWS/Azure). Knowledge of Delta Lake, Unity Catalog, and Databricks workflows. Exposure to Kafka for real-time data streaming. Experience with ETL tools like Pentaho or Tibco will be an added advantage. AWS/Azure/Databricks certifications Tools & Technologies: Databricks, Oracle, Hadoop (HDFS, Hive, Sqoop), AWS (S3, EMR, Glue, Lamda, RDS) PySpark, SQL, Python, Kafka CI/CD (Jenkins, GitHub Actions), Orchestration (Airflow, Control-M) JIRA, Confluence, Git (GitHub/Bitbucket) Cloud Certifications (Preferred): Databricks Certified Data Engineer AWS Certified Solutions Architect/Developer

Design & Development: • Design and develop high-performance, interactive Power BI dashboards with data sourced from Databricks. • Build and optimize data models in Power BI, leveraging Delta Lake tables and Databricks SQL endpoints. • Develop efficient DAX measures and Power Query (M) transformations for complex reporting needs. • Implement dynamic filters, parameters, and slicers for enhanced user interactivity. • Collaborate with business teams to translate requirements into scalable Power BI solutions. Data Analysis & Reporting: • Write and optimize complex SQL queries for data extraction and transformation. • Perform data profiling and analysis to ensure accuracy and consistency. • Perform data validation and reconciliation between Databricks and Power BI to ensure accuracy. • Optimize report performance by fine-tuning Databricks queries and Power BI data models. • Provide insights through dashboards and ad-hoc reports. • Translate business problems into meaningful dashboards and visuals. Optimization & Maintenance: • Tune Power BI reports and Databricks queries for fast load times and minimal latency. • Monitor and optimize data refresh schedules to balance performance and cost. • Maintain and enhance existing dashboards as business needs evolve. Collaboration: • Work closely with data engineers, analysts, and business stakeholders. • Support integration of Power BI with data pipelines and data warehouses. Experience: • Minimum 5 years of hands-on experience with Power BI report and dashboard development. • Proven expertise in SQL and data analysis. • Strong experience working with large datasets and optimizing data flows. Technical Skills: • Strong proficiency in Power BI, including Power Query and DAX. • Solid SQL knowledge for querying relational databases. • Experience with data warehousing tools such as Snowflake, or Databricks. • Familiarity with version control systems like Git is a plus. • Understanding ETL concepts and data transformation is the best practice.

Key Responsibilities: Develop and maintain scalable data pipelines in Databricks to support the migration of data from Oracle-based Data Warehouse (DWH) and Operational Data Store (ODS) systems. Analyze and understand existing Oracle schemas, stored procedures, and data transformation logic. Translate PL/SQL logic into PySpark/Databricks SQL. Develop and maintain Delta Lake-based datasets with appropriate partitioning, indexing, and optimization strategies. Perform data validation and reconciliation post-migration, including row count, data integrity, and accuracy checks. Build reusable and modular data ingestion and transformation frameworks using Databricks Notebooks, Jobs, and Workflows. Collaborate with DevOps teams for CI/CD pipeline integration and efficient deployment. Optimize performance of existing pipelines and queries in Databricks. Document architecture, transformation logic, and data lineage clearly for operational transparency. Utilize some ETL codes from Pentaho and TIBCO, Perl to support legacy ETL understanding and potential migration to PySpark/Databricks SQL Mandatory Skills & Experience: 6 to 8 years of experience in data engineering, with strong experience in Oracle DWH/ODS environments. Minimum 3+ years hands-on experience in Databricks (including PySpark, SQL, Delta Lake, Workflows). Strong understanding of Lakehouse architecture, cloud data platforms, and big data processing.

Key Responsibilities Design, develop, and maintain scalable and high-performance web applications using Python/ReactJS/.Net Collaborate with UI/UX designers, product managers, and other developers to define and implement new features. Write clean, modular, and maintainable code with proper documentation. Build and integrate RESTful APIs and third-party services. Ensure application performance, quality, and responsiveness. Participate in code reviews, unit testing, and deployment activities. Troubleshoot issues, identify bottlenecks, and provide solutions in a timely manner. Required Skills & Experience 5+ years of professional experience as a Full Stack Developer. Strong proficiency in Python (Django or Flask) and .Net (.Net Core or ASP.Net MVC) for backend development. Hands-on experience with ReactJS for frontend development. Solid understanding of RESTful APIs , JSON, and web services. Proficiency with databases such as PostgreSQL, MySQL , or SQL Server . Familiarity with DevOps practices and version control tools like Git . Good understanding of CI/CD pipelines , Docker , and cloud platforms (AWS/Azure/GCP) is a plus. Excellent problem-solving and debugging skills. Strong communication and team collaboration skills. Nice to Have Experience in microservices architecture. Experience of working in Financial / Energy Market

ey Responsibilities: Design, develop, and maintain robust and reusable test automation frameworks using Selenium with C# Develop and execute automated test scripts for web-based applications Identify test requirements, prepare test data, and create detailed test plans Collaborate with developers, product owners, and other QA team members to understand business and technical requirements Perform regression testing, smoke testing, and performance testing where applicable Analyze test results, identify bugs, and report defects with clear documentation Continuously enhance automated testing strategies and tools Participate in code reviews and provide feedback on testability Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or a related field 3+ years of experience in test automation using Selenium with C# Proficient in writing test scripts using NUnit or MSTest Hands-on experience with Visual Studio , SpecFlow (or BDD tools), and source control tools like Git Experience working with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions Good understanding of OOP concepts and automation design patterns (e.g., Page Object Model) Strong debugging and problem-solving skills Familiarity with Agile/Scrum development methodologies Excellent communication and documentation skills