Educational Requirement: B.E./B.Tech, MSc Computer Science, MCA.

Experience: 8-15 years.

Key Skills:

• 8+ years of relevant professional experience in system engineering or administration with significant exposure to a variety of technologies and domains Experience in migrating workload from on-premise to Cloud.

• Hands-on experience with AWS/AZURE/GCP services from Compute, Storage, Networking and Security components

• Hands-on experience with using Cloud Platform provided Big Data technologies (i.e., EC2, EMR, RedShift, S3, Kinesis).

• Experience in designing Cloud ready solutions based on industry standards using Azure/AWS/GCP, IaaS, PaaS and SaaS capabilities.

• Experience migrating and deploying cloud-based solutions.

• Experience with Database Design and setting them up on cloud.

• Strong analytical, problem-solving, data analysis and research skills.

• Demonstrable ability to think outside of the box and not be dependent on readily available tools

• Excellent communication, presentation and interpersonal skills are a must .

Responsibilities:

• Design Solutions for migration and modernization to Cloud platforms, move from one programming language to the othe.

• Lead and build Modernization architecture solution from legacy platforms into modern platform (Cloud) through modular design.

• You will carry out Legacy Modernization Solution Design and delivery.

• Collaborate and act as a Domain expert in design Modernization strategy and identify the need for API, Containerization, Microservices creation vs. language conversion, Database conversion.

• Domain expert by providing significant contribution to Modernization on Technical elements of WBS, estimation, Modernization risk, dependencies, Minimum viable product (MVP).

• Provide estimates for development.

• Provide technical guidance to build the solutions. .

• Conduct reviews of developed code.

• Support continuous improvement in product landscape.

Educational Requirement: B.E./B.Tech, MSc Computer Science, MCA .

Experience: 2-8 years.

Key Skills:

• In-depth understanding of Data Warehousing (DWH) and ETL concepts, design and development of ETL loading strategy, Data archiving, Data reconciliation, ETL error handling, Error logging mechanisms, workflow recovery, standards and best practices.

• Strong and in-depth Experience with relational, dimensional, multi-dimensional and OLAP techniques & technology.

• Working experience in one of the ETL tools - Informatica/Datastage.

• Strong experience in designing and developing ETL mappings, mapplets, workflows, sessions.

• Must have an extensive understanding and experience using various transformation types (Informatica/DS) and reusable components.

• Experience with translating interface requirements in design specifications for development.

• Strong Experience with interfaces such as TOAD, SQL Navigator, and SQL Developer.

• Very strong SQL and data analysis capabilities.

Responsibilities:

• Assists in design, development and implementation of end-to-end complex ETL system using Informatica/DataStage tools.

• Produce deliverables for technical design, system testing and implementation activities.

• Responsible for developing workflows and mapping.

• Implement ETL systems that are operationally stable, efficient and automated and it maximizes re-usable components/services, collect/share metadata, incorporate audit, reconciliation and exception handling.

• Participate in design and analysis sessions to ensure sound team decision-making.

• Support system and user acceptance testing activities, including issue resolution.

• Troubleshooting and performance tuning of Informatica/DataStage flows.

Educational Requirement: B.E./B.Tech, MSc Computer Science, MCA.

Experience: 2-5 years.

Key Skills:

• Expertise in SQL, PL/SQL concepts- Oracle Packages, stored procedures, functions, triggers, cursors, views, Indexes, Sequences, collections, bulk binding etc.

• Expertise in debugging/validation of PL/SQL, SQL Code.

• Deep understanding of Collections, Data structures, Exception handling, analytical Functions, RDBMS.

• Ability to write efficient, complex queries against very large data sets using SQL Developer and TOAD.

• Experience in performance tuning - Strong analytical, design and debugging skills.

• Knowledge of design and development using relational databases.

• Experience in Unix shell scripting.

• Effective verbal and written communication skills.

Good to have:

• Data stage/ETL knowledge.

• Data warehousing concepts knowledge.

• CDC knowledge.

Responsibilities:

• Should be proficient to write performance efficient and high-quality code.

• Designs and develops components and services according to specifications.

• Shall be able to write low level design document.

• End to end software development and delivery.

• Prepares detailed system documentation including requirements, specifications, test plans and user manuals.

• Understanding design documents and developing application code with quality, within schedule and estimated efforts.

Educational Requirement: B.E./B.Tech, MSc Computer Science, MCA.

Experience: 3+ Years.

Key Skills:

• Java, J2EE, SpringBoot and Angular: In-depth knowledge of design issues and best practices.

• Expert Level in understanding of Microservices, SQL (MySQL) and NOSQL. .

• Experience with both external and embedded databases.

• Knowledge in design and implementation of server-side code modelled on a microservice architecture & written using Java 8, Spring Boot, REST API, Hibernate.

• Familiar with various design, architectural patterns and software development process.

• Exposure to data engineering (data exploration, modelling and schema designing).

• Knowledge of Release and code management.

• Proven track record.

• Good communication skills in English.

Responsibilities:

• Will require to Build and Implement the solution/prototypes/proof of concepts. .

• Will be part of development team developing Object Oriented, multi-tier applications in a complex architectural landscape.

• Shall be able to write low level design document.

• Support continuous improvement in product landscape.