We are looking for an experienced and highly organized Release Manager with a strong background in DevOps practices and Mobile Application Development to join our team. The ideal candidate will play a critical role in ensuring seamless delivery and deployment of our mobile applications, working closely with development, QA, and operations teams. Your expertise in managing releases, implementing automation, and streamlining CI/CD pipelines will be essential for the successful delivery of our mobile apps. Key Responsibilities: Manage and oversee the entire release lifecycle of mobile applications, ensuring smooth and timely releases. Collaborate with development teams to plan, schedule, and coordinate software releases and updates across multiple platforms (iOS, Android, etc.). Ensure continuous integration and continuous deployment (CI/CD) pipelines are set up and optimized for mobile app releases. Implement DevOps practices to automate deployment, monitor environments, and improve release efficiency. Coordinate with cross-functional teams (development, QA, product, and operations) to ensure that release requirements and timelines are met. Troubleshoot issues related to mobile app releases and work with developers to resolve production-level issues. Ensure release documentation, change logs, and communication plans are maintained for each release. Conduct post-release reviews to identify areas for process improvement and to implement best practices for future releases. Monitor mobile app performance post-release and ensure that releases do not disrupt users experience. Maintain release schedules and provide stakeholders with regular updates regarding the release progress. Required Skills & Qualifications: Proven experience as a Release Manager or similar role, preferably with a focus on mobile applications . Strong experience with DevOps tools (Jenkins, Git, Docker, Kubernetes, etc.) and practices (CI/CD pipelines, automation, monitoring). Hands-on experience with mobile application development, deployment, and troubleshooting for both iOS and Android platforms. In-depth knowledge of mobile app release processes, including submission to app stores (Google Play, Apple App Store). Strong understanding of mobile app versioning, release management, and rollback strategies. Ability to manage and prioritize multiple releases simultaneously. Excellent communication skills and ability to collaborate with various teams. Experience with agile and scrum methodologies. Familiarity with tools like JIRA , Bitbucket , GitLab , or GitHub for version control and collaboration.

Description We are seeking an experienced SAS Developer with 6-11 years of expertise in Base SAS, Macros, SQL, and PROC SQL to join our dynamic team. The ideal candidate will be responsible for developing and maintaining robust SAS programs to support data analysis and reporting needs. You will play a key role in transforming data into actionable insights and collaborating with various teams to enhance our data-driven decision-making processes. Responsibilities Develop and maintain SAS programs using Base SAS, Macros, and SQL for data analysis and reporting. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform data extraction, transformation, and loading (ETL) processes using SAS tools. Create and optimize complex queries using PROC SQL to manipulate and analyze large datasets. Ensure data integrity and accuracy by performing thorough testing and validation of SAS programs. Generate insightful reports and dashboards to support business decision-making. Document technical processes, workflows, and procedures for future reference and knowledge sharing. Troubleshoot and resolve any issues related to SAS programming and data processing. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 6-11 years of hands-on experience in SAS programming, specifically with Base SAS, Macros, and SQL. Strong proficiency in PROC SQL for data manipulation and analysis. Experience in data management and ETL processes using SAS tools. Familiarity with SAS Enterprise Guide and SAS Studio is a plus. Knowledge of statistical analysis techniques and methodologies. Ability to work with large datasets and perform data cleaning and validation. Excellent problem-solving skills and attention to detail. Strong communication skills to effectively collaborate with team members and stakeholders.

Experience with Databricks, PySpark, and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Proficient in Python, SQL, Pyspark and Scala (knowledge of Java is a plus). Knowledge of data warehousing and data lakes concepts. Familiarity with CI/CD processes for data workflows. Experience with Databricks-specific features such as Delta Lake and Databricks SQL Should be able to perform validation to ensure data integrity, accuracy, and consistence end-to-end data pipelines for performance, scalability, and fault tolerance. Ability to communicate effectively with both technical and non-technical stakeholder

You should have a minimum of 6+ years relevant experience in the role High Technical knowledge of networks, network security and their configuration and operational processes. Proficient in Cisco Switching (catalyst, NX, upgrades and LAN security) and routing, Network Access Control, AAA, device build and upgrades Strong background and Experience with Physical and Virtual Appliances for VPN, Express Route, MPL Azure Network Security Groups, User Defined Routes, Load Balancers Good understanding and hands on experience on Firewall, Switches and Access Points), Palo Alto Next (On-Prem & Azure VM series) Generation firewall Solutions and Cisco ASA firewalls Good understanding and hands on experience of Cisco ISE Knowledgeable in Dynamic routing protocols such as OSPF, BGP etc. Strong background and Experience with Physical and Virtual Appliances for VPN, Express Route, MPL Working knowledge of data centers, their architecture, and standards, Handing day to day network and security related changes and requests and issue troubleshooting Certifications: CCNP (Is a must), PCNSE, CCNP Sec or related preferred

Description We are seeking an experienced Microsoft Dynamics Technical Consultant with 7-12 years of experience to join our team. The ideal candidate will have a deep understanding of Microsoft Dynamics solutions, along with the technical skills to implement, customize, and support these applications for our clients. This role requires a mix of technical expertise, analytical thinking, and excellent communication skills to ensure successful project outcomes. Responsibilities Gather and analyze business requirements from stakeholders to design effective solutions using Microsoft Dynamics. Implement and configure Microsoft Dynamics solutions tailored to client needs. Provide technical support and troubleshooting for existing Microsoft Dynamics applications. Develop customizations and integrations using Microsoft Dynamics SDK, JavaScript, C#, and other relevant technologies. Conduct system testing and validation to ensure solutions meet business requirements and quality standards. Prepare technical documentation, including system design, configuration, and user manuals. Collaborate with cross-functional teams, including project managers, functional consultants, and end-users, to ensure successful project delivery. Stay updated with the latest Microsoft Dynamics features and best practices to provide innovative solutions. Skills and Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 7-12 years of experience working with Microsoft Dynamics CRM/365 or ERP solutions. Strong understanding of Microsoft Dynamics architecture and deployment. Proficient in customizing Microsoft Dynamics applications using tools such as Power Apps, Power Automate, and XRM Toolbox. Experience with programming languages such as C#, JavaScript, and .NET. Familiarity with Azure services and cloud deployment of Microsoft Dynamics solutions. Knowledge of SQL Server and experience with database management and reporting. Excellent problem-solving skills and ability to work under pressure. Strong communication skills to interact effectively with clients and stakeholders.

.Net Full-stack Architect Hands on experience on .Net core & Microservices. Strong experience in, Architecting full-stack web and Mobile applications using dot net JavaScript libraries (React Js) , Web API, C#, Web Services, SQL and relational databases and web development in general. Experience in JavaScript, CSS & HTML is must. Knowledge of OOPS concept with extensive coding and unit testing experience. Experience on Product integration and deployments. Hands on Code optimization and refactoring. Knowledge on Net Core, Micro service, and Azure/AWS Cloud Development on web application that utilized Responsive Web Design techniques highly preferred. Knowledge of Agile/Sprint development processes and higher education experience are all pluses. End to end .net development and implementing enterprise applications based on.Net stacks Proficiency in Agile/Scrum methodology. Understands the benefits of the various programming languages Possesses significant knowledge of client/server and internet systems architectures Strong delivery capability in an agile development environment. Proven track record of delivering complex enterprise class products on time and with superior quality. Team player with a focus on the big picture and overall success of clients, internal team and company Understands browser / client specific compatibility issues. Candidate Profile: Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)) Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3 Familiarity with architecture styles/APIs (REST, RPC) Understanding of Agile methodologies Excellent troubleshooting and communication skills Knowledge and Skills.

Role & responsibilities Experience with Databricks, PySpark, and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Proficient in Python, SQL, Pyspark and Scala (knowledge of Java is a plus). Knowledge of data warehousing and data lakes concepts. Familiarity with CI/CD processes for data workflows. Experience with Databricks-specific features such as Delta Lake and Databricks SQL Ability to communicate effectively with both technical and non-technical stakeholders.

1) Design, develop, and maintain custom Salesforce applications using Apex, Lightning Components (Aura/LWC), Visualforce, and SOQL/SOSL (Knowledge). 2) Develop scalable and reusable solutions for complex business processes on the Salesforce platform. Customization & Configuration: 1) Leverage declarative tools (e.g., Flows, Process Builder) and programmatic development to configure Salesforce as per business needs. 2) Work closely with Salesforce Admins to enhance data models, workflows, and security configurations. 3) Develop and maintain integrations between Salesforce and external systems using REST/SOAP APIs, middleware (e.g., MuleSoft), and other integration tools.

Description Infogain is seeking a skilled SAS Developer with 6-10 years of experience to join our dynamic team. This is a hybrid work position based in India. The ideal candidate will have a strong background in SAS programming, data analysis, and a passion for delivering high-quality data solutions to our clients. You will play a critical role in analyzing complex data sets, generating insights, and assisting in decision-making processes. Responsibilities Develop, test, and implement SAS programs for data analysis and reporting. Collaborate with data analysts and business users to gather requirements and translate them into technical specifications. Optimize and enhance existing SAS programs to improve performance and efficiency. Design and maintain data models and databases to support data analysis. Ensure data integrity and accuracy throughout the data processing lifecycle. Prepare and present reports and visualizations to stakeholders. Skills and Qualifications Proficient in SAS programming and analytics tools. Strong knowledge of SQL and experience with relational databases. Experience with data visualization tools like Tableau or Power BI is a plus. Familiarity with ETL processes and tools. Understanding of statistical analysis and data mining techniques. Excellent problem-solving and analytical skills. Ability to work in a collaborative team environment and communicate effectively with non-technical stakeholders.

Candidate must be familiar with SQL technology and various core components of SQL in order to perform the SQL DBA JOB. Hands on Experience in with SQL on-premises and Azure Backup strategies. Migration and assessment of SQL on-prem to Azure. Candidate must be already to working in 24 by 7 environment Must have skills around handling Migration & Database Upgrade, Log Shipping, Clustering, Performance Tuning, Performance Issues. Sound knowledge on troubleshooting performance issues Hands on Experience with writing database queries and Knowledge of database design and theories Strong command of SQL and SQL server tools and Ola Hallengren scripts Familiarity and hands on experience with SSAS, SSIS, SSRS. Monitor database performance, performance tuning and implement changes and apply new patches and versions when required. Familiarity with database management best practices and IT security best practices Determine, enforce, and document database policies, procedures, and standards. Perform tests and evaluations regularly to ensure data security, privacy, and integrity. Excellent attention to detail, with Problem-solving and critical thinking Ability to explain complex ideas in simple terms. Good multitasking abilities

DevOps Leadership & Management : Lead and manage the DevOps teams Champion best practices for automation, CI/CD pipeline development, and continuous delivery. Ensure the DevOps practices align with overall business and technical objectives, driving efficient and high-quality software delivery. Optimize deployment processes and minimize downtime, improving productivity and reducing operational bottlenecks. Oversee the end-to-end release process, ensuring smooth and timely software releases. Technical Expertise & Innovation : Provide strong technical leadership in DevOps tools and practices, including version control systems (Git), build automation tools (Jenkins, GitLab, CircleCI), and container orchestration platforms (Docker, Kubernetes). Evaluate and recommend improvements for current DevOps processes, identifying areas for automation and optimization. Understand cloud infrastructure (AWS, Azure, GCP), and leverage infrastructure-as-code (IaC) tools like Terraform , CloudFormation , or Ansible to improve scalability and efficiency. Utilize Dynatrace or similar observability platforms to track system performance, application health, and troubleshoot potential issues. Collaboration with Stakeholders : Work closely with product and engineering teams to align DevOps and release management practices with customer needs and business requirements. Engage with customers as needed, ensuring that customer expectations are met with a focus on operational reliability and timely software delivery. Establish clear communication channels with cross-functional teams to ensure alignment on project goals, timelines, and technical challenges. Continuous Improvement : Promote a culture of continuous learning, improvement, and knowledge sharing within the team. Foster innovation and experimentation with emerging DevOps tools, methodologies, and technologies. Measure and report on team effectiveness, identifying areas for improvement and driving changes to optimize performance. Qualifications: Required : Bachelors degree in Computer Science, Engineering, or related technical field (or equivalent work experience). 8+ years of experience in software development, DevOps, and release management, with at least 3-5 years in a leadership role. Strong experience with DevOps practices and tools, including CI/CD pipeline management, automation, and deployment tools (Jenkins, GitLab, CircleCI). Proficiency in containerization technologies (Docker, Kubernetes). Experience with cloud platforms (AWS, Azure, GCP), along with Infrastructure-as-Code (IaC) tools (Terraform, CloudFormation, Ansible). Good-to-Have (Additional Skills) : Experience working with Dynatrace or other observability platforms for monitoring, troubleshooting, and optimizing system performance. Knowledge of Site Reliability Engineering (SRE) practices, including incident management, post-mortem analysis, and reliability metrics like Service Level Objectives (SLOs). Familiarity with infrastructure management and network configurations. Understanding of logging, monitoring, and alerting tools (e.g., Prometheus, Grafana, Splunk). Key Attributes : Strong leadership skills with a focus on motivating and empowering teams to deliver high-impact results. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements. Excellent problem-solving skills with a focus on continuous improvement and operational efficiency. Strong communication skills, both verbal and written, with the ability to engage effectively with technical and non-technical stakeholders. A strategic mindset with a focus on scaling, optimizing, and improving systems and processes.

Job Description for Databricks / PySpark Developer/Sr. Dev Experience with Databricks, PySpark, and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Proficient in Python, SQL, Pyspark and Scala (knowledge of Java is a plus). Knowledge of data warehousing and data lakes concepts. Familiarity with CI/CD processes for data workflows. Experience with Databricks-specific features such as Delta Lake and Databricks SQL Ability to communicate effectively with both technical and non-technical stakeholders

Developing ETL pipelines involving big data. Developing data processinganalytics applications primarily using PySpark. Experience of developing applications on cloud(AWS) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming. Clear understanding and ability to implement distributed storage, processing and scalable applications. Experience of working with SQL and NoSQL database. Ability to write and analyze SQL, HQL and other query languages for NoSQL databases. Proficiency is writing disitributed & scalable data processing code using PySpark, Python and related libraries. Data Engineer AEP Competency Experience of developing applications that consume the services exposed as ReST APIs.

Job Description: Design and build robust Marketing Mix Models using advanced statistical and machine learning techniques to measure the impact of marketing efforts on sales and other key performance indicators. Analyze large, complex datasets from various sources (e.g., sales, media spend, promotional activities) to identify trends, correlations, and key drivers of business performance. Use statistical methods and machine learning algorithms to uncover insights and patterns within the data. Gather, clean, and preprocess data to ensure it is suitable for modeling. Develop and maintain data pipelines, ensuring data integrity and accuracy throughout the project lifecycle. Utilize tools such as Python, R, SQL, and other relevant software for statistical analysis and modeling. Leverage data visualization tools (e.g., Tableau, Power BI) to create dashboards and reports that communicate insights effectively. Document modeling processes, assumptions, and methodologies to ensure transparency and reproducibility. Generate regular reports and presentations that provide actionable insights and support strategic decision-making.

Job Summary: The Azure Data Engineer (Standard) is a senior-level role responsible for designing and implementing complex data processing solutions on the Azure platform. They work with other data engineers and architects to develop scalable, reliable, and efficient data pipelines that meet business requirements. Job Description: Experience with Databricks, Spark, SQL and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Knowledge of data warehousing and data lakes concepts. Familiarity with CI/CD processes for data workflows. Experience with Databricks-specific features such as Delta Lake and Databricks SQL Ability to communicate effectively with both technical and non-technical stakeholders.

Description We are seeking a skilled Azure Data Engineer with 6-11 years of experience to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining data solutions on the Azure platform. You will work closely with cross-functional teams to ensure the efficient processing and management of data, while also driving data-driven decision-making within the organization. If you are passionate about data and have a strong technical background in Azure services, we would love to hear from you. Responsibilities Design and implement data solutions using Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database. Develop and maintain data pipelines for data ingestion, transformation, and storage. Ensure data quality and integrity by implementing data validation and cleansing processes. Collaborate with data scientists and analysts to understand data requirements and provide data access. Optimize performance of data processing and storage solutions in Azure. Monitor and troubleshoot data workflows and pipelines to ensure reliability and efficiency. Implement security and compliance measures for data handling and storage. Document data architecture and processes for future reference and onboarding. Skills and Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 6-11 years of experience in data engineering or a related field. Strong experience with Azure Data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics). Proficiency in SQL and experience with relational databases (e.g., Azure SQL Database, SQL Server). Knowledge of programming languages such as Python or Scala for data processing and ETL tasks. Experience with data modeling and database design principles. Familiarity with big data technologies (e.g., Apache Spark, Hadoop) and data warehousing concepts. Understanding of data governance and best practices in data security. Experience with CI/CD processes and DevOps practices for data solutions.

Description We are seeking a skilled .NET Software Developer with 6-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in developing web applications using .NET technologies and will be responsible for designing, implementing, and maintaining high-quality software solutions. If you are passionate about technology and want to work in a collaborative environment, we would love to hear from you. Responsibilities Design, develop, and maintain robust, scalable web applications using .NET technologies. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code following best practices and

Description We are seeking an experienced Data Engineer with 4-9 years of hands-on experience to join our dynamic team. The ideal candidate will be responsible for designing and implementing robust data pipelines and ensuring data quality for analytics and reporting purposes. You will work closely with cross-functional teams to support data-driven decision-making and enhance our data infrastructure. If you are passionate about data and possess strong technical skills, we would love to hear from you. Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes to support business analytics and reporting needs. Collaborate with data scientists and analysts to understand data requirements and ensure the availability of clean, structured, and reliable data. Optimize and automate data ingestion, transformation, and storage processes. Monitor and troubleshoot data pipeline performance and implement improvements as necessary. Implement data governance and data quality best practices to ensure data integrity and security. Work with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) to manage data infrastructure and storage solutions. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 4-9 years of experience as a Data Engineer or in a similar role. Proficiency in programming languages such as Python, Java, or Scala for data processing and manipulation. Experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Strong knowledge of data warehousing concepts and experience with ETL tools (e.g., Apache NiFi, Talend, Informatica). Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing frameworks. Experience with cloud platforms and services (e.g., AWS Redshift, Google BigQuery, Azure Data Lake). Understanding of data modeling and data architecture principles. Excellent problem-solving skills and ability to work with complex data sets.

Job Description:Job Description: Experience with Databricks, PySpark, and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Proficient in Python, SQL, Pyspark and Scala (knowledge of Java is a plus). Knowledge of data warehousing and data lakes concepts. Familiarity with CI/CD processes for data workflows. Experience with Databricks-specific features such as Delta Lake and Databricks SQL Ability to communicate effectively with both technical and non-technical stakeholders.

Responsibilities Develop and maintain complex Power BI reports and dashboards to provide actionable insights for various stakeholders. Conduct in-depth data analysis using SQL to extract, clean, and transform large datasets. Collaborate with business users to understand their reporting needs and translate them into effective data visualizations. Identify trends, patterns, and anomalies in data to uncover opportunities for improvement. Develop and implement data quality standards and processes. Automate routine reporting and analysis tasks through scripting or other means. Provide data-driven recommendations to improve business performance. Mentor and guide junior data analysts. Qualifications Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Minimum of 8 years of experience in data analysis and reporting. Advanced proficiency in Power BI, including data modeling, DAX, and report development. Strong SQL skills, including writing complex queries and performance optimization. Experience with Python programming (preferred). Excellent analytical and problem-solving skills. Strong attention to detail and accuracy. Ability to communicate complex technical information to non-technical audiences. Experience working in an Agile environment (preferred). Desired Skills Experience with data visualization tools (Power BI etc.). Knowledge of data warehousing and ETL processes. Experience with cloud-based data platforms (AWS, Azure, GCP). Understanding of statistical methods and data mining techniques.