The Bridgenext Lead Salesforce Developer plays a critical role in designing, building, and maintaining robust, scalable Salesforce solutions across multiple Managed Services clients. This role combines hands-on development, DevOps, technical architecture, and team leadership. You ll guide both technical implementation and team collaboration to deliver high-quality outcomes for our clients. As a Lead Developer, you ll manage a portfolio of accounts, support client communication, set development standards, and assist with long-term product strategy and evolution. Duties & Responsibilities Work both independently and collaboratively with your team to deliver solutions that meet client expectations and acceptance criteria while serving as the technical lead across the Managed Services portfolio. Design scalable Salesforce solutions using declarative and programmatic tools. Support and coach developers by reviewing PRs, offering mentorship, and providing technical guidance. Manage multiple technical requests and timelines across clients; help prioritize and communicate expectations clearly. Configure and maintain DevOps pipelines (e.g., CircleCI, GitHub Actions) to support multi-org workflows and ISV pipelines. Create and manage Salesforce packages (1GP and 2GP); support versioning, deployment, and packaging strategy. Lead Salesforce Security Review preparations, including static code analysis, documentation, and false positive management. Work collaboratively with Lead Consultants to guide product evolution and recommend best practices. Create lightweight wireframes or technical diagrams to support development planning. Own code quality across projects; ensure compliance with internal coding standards and Salesforce best practices. Create technical documentation for knowledge transfer and onboarding; conduct KT sessions as needed. Stay up-to-date on Salesforce platform changes, tools, and architectural patterns. Experience Required 5+ years Salesforce development experience, including Apex, LWC, and API integrations. Experience designing and implementing scalable architectures across Sales Cloud, Service Cloud, and Experience Cloud. Experience with Salesforce ISV Partner support and packaging (1GP and 2GP). Proficiency in DevOps tools and CI/CD pipeline configuration (e.g., GitHub, Bitbucket, CircleCI). Experience leading or mentoring other developers within a team environment. Comfortable managing timelines, stakeholder communication, and supporting multiple projects simultaneously. Understanding of Salesforce Security Review process, remediation strategies, and submission requirements. Strong verbal and written communication skills able to explain technical concepts to business users. Salesforce Platform Dev I certification required; Dev II or JavaScript Dev I preferred.
Position Description We are looking for looking for a looking to add a talented Cloud Architect to our team. This is a hands-on role, responsible for driving the architecture, design, and implementation of Snowflake for our clients. We are looking for someone who cares about the quality and who is passionate about providing the best solution to meet the client s needs and anticipate their future needs based on an understanding of the market. Must Have Skills: 6+ years of experience in designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse. Expertise in Snowflake data modeling, ELT using snow pipe, implementing stored procedures and standard DWH and ETL concepts. Experience with data security and data access controls and design in Snowflake. Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning. Experience in managing Snowflake environments including user roles, security, and access control. Experience in handling backup, failover, and disaster recovery strategies. Experience in maintaining Snowflake repository and version control for production and test environments. Good to have Snowflake cloud data warehouse Architect certification. Good to have experience in building solutions on Snowflake using combination of Python, PySpark with SnowSQL. Good to have AWS Cloud experience. Professional Skills: Solid written, verbal, and presentation communication skills Strong team and individual player Maintains composure during all types of situations and is collaborative by nature High standards of professionalism, consistently producing high-quality results Self-sufficient, independent requiring very little supervision or intervention Demonstrate flexibility and openness to bring creative solutions to address issues
Tableau Senior Developer Job ID: Tab-ETP-Rem-1121 Location: Remote,Pune We are seeking a highly skilled and experienced Senior Tableau Developer to join our dynamic team. As a Senior Tableau Developer, you will play a pivotal role in designing, developing, and implementing data visualizations and reports using Tableau. You will work closely with stakeholders to understand business requirements, translate them into actionable data insights, and deliver interactive, high-performance dashboards and reports. Key Responsibilities: Dashboard & Report Development: Design, develop, and maintain interactive Tableau dashboards and reports that provide actionable insights for business stakeholders. Data Integration: Integrate data from multiple sources, including relational databases, cloud-based platforms, and other third-party systems into Tableau for accurate and efficient visualizations. Optimization: Optimize Tableau workbooks, dashboards, and queries for performance, ensuring fast loading times and an intuitive user experience. Collaboration with Stakeholders: Engage with business users, data analysts, and other stakeholders to gather requirements, understand business needs, and translate them into effective Tableau visualizations. Data Modeling: Work with the data engineering team to develop data models, perform data validation, and ensure the data pipeline is running smoothly for Tableau integration. Automation & Scripting: Automate Tableau report generation, data extraction, and scheduling through Tableau Server/Online and/or custom scripts. Best Practices & Documentation: Establish and enforce best practices for dashboard design, data visualization, and performance optimization. Maintain thorough documentation of Tableau reports, workbooks, and data sources. Troubleshooting & Support: Provide ongoing support and troubleshooting of Tableau dashboards and reports, resolving issues in a timely and efficient manner. Mentorship: Mentor junior developers and Tableau users, sharing knowledge on best practices, data visualization techniques, and troubleshooting. Training & Development: Conduct training sessions for internal teams on Tableau usage, techniques, and best practices. Required Skills and Qualifications: Experience: 4+ years of hands-on experience in Tableau development and data visualization. Strong background in working with large datasets and integrating data from multiple sources (SQL, APIs, etc.). Technical Skills: Expertise in Tableau Desktop, Tableau Server, Tableau Prep, and Tableau Online. Proficient in SQL for data querying and manipulation. Strong understanding of data warehousing concepts, ETL processes, and data modeling. Experience in writing complex calculations, table calculations, and Level of Detail (LOD) expressions in Tableau. Business Intelligence Expertise: Proven ability to understand and interpret business requirements to deliver insightful data visualizations. Knowledge of BI concepts like KPIs, metrics, and reporting best practices. Performance Tuning: Strong skills in optimizing Tableau performance (query optimization, efficient use of extracts, minimizing dashboard load times). Soft Skills: Excellent communication and interpersonal skills. Ability to collaborate effectively with business users and technical teams. Strong analytical and problem-solving abilities. Good to have: Experience with cloud-based data platforms like Azure or AWS. Familiarity with other BI tools like Power BI or Qlik. Experience with Python or R for advanced analytics integration with Tableau. Certification in Tableau (e.g., Tableau Desktop Certified Professional, Tableau Server Certified Associate).
About the Role We are seeking a seasoned Senior Platform Engineer / Architect with deep expertise in Databricks, Unity Catalog, and Azure Data Factory (ADF), who can balance hands-on delivery with strategic leadership. This role requires strong technical capability combined with the ability to engage business stakeholders, drive platform modernization conversations, and provide thought leadership on data governance and engineering best practices. Key Responsibilities Architect and lead platform modernization initiatives, with a focus on Databricks Unity Catalog, data governance, and enterprise-grade scalability. Drive the design and implementation of data pipelines using Azure Data Factory, integrating diverse data sources into the Lakehouse ecosystem. Partner with business and technology stakeholders to define a strategic roadmap for platform evolution, governance, and self-service enablement. Provide thought leadership on data access, lineage, discoverability, and platform observability, ensuring compliance with enterprise security standards. Standardize and scale data ingestion, orchestration, and transformation frameworks using ADF, Spark, and Databricks. Lead reference architecture development, technical evaluations, and POCs to validate future-state designs. Collaborate with engineering teams on CI/CD, infrastructure-as-code, monitoring, and automation to ensure operational excellence. Mentor teams on best practices across data engineering, platform configuration, and governance workflows. Required Qualifications 8+ years of experience in data platform engineering or architecture, with demonstrable hands-on work in enterprise environments. Expertise in Databricks and Unity Catalog, including data security, access control, governance, and catalog management. Proven experience designing and orchestrating pipelines using Azure Data Factory, including parameterized and dynamic pipelines. Deep knowledge of Azure services, including ADLS Gen2, Azure DevOps, Key Vault, and networking considerations. Hands-on skills in Python/Scala, Spark, SQL, and data orchestration tools. Experience with infrastructure-as-code (Terraform, Bicep, ARM templates) and CI/CD automation. Strong communication skills, with a proven track record of driving business-facing conversations and aligning stakeholders on platform decisions.
to lead our global accounting operations and financial compliance across the United States, India, Canada, and Argentina. This role is critical in ensuring accurate financial reporting, robust internal controls, and adherence to regulatory standards across multiple geographies. The ideal candidate brings deep controllership experience, preferably within a professional services organization , and thrives in a fast-paced, people-driven, multi-entity environment. Key Responsibilities: Financial Reporting & Close Management: Lead the global month-end, quarter-end, and year-end close processes across multiple legal entities, ensuring accuracy and timeliness. Consolidate financial statements across jurisdictions in compliance with US GAAP (or IFRS, as applicable). Oversee preparation of key financial reports for leadership, board, and audit purposes. Global Accounting Operations: Manage accounting processes including revenue recognition (project-based and time & materials), expense accruals, intercompany eliminations, and foreign currency transactions. Ensure compliance with local statutory and tax regulations in India, Canada, and Argentina in coordination with external advisors and internal tax teams. Maintain and improve the global chart of accounts and financial system configuration (ERP). Internal Controls & Compliance: Develop and monitor internal controls over financial reporting (ICFR), including processes for SOX compliance if applicable. Partner with internal and external auditors on annual audit processes and internal control reviews. Support local finance teams with regulatory filings, statutory audits, and transfer pricing compliance. Team Leadership & Collaboration: Manage and mentor a globally distributed accounting team, promoting knowledge sharing and standardization of processes across regions. Collaborate with FP&A, Legal, HR, and Operations to ensure alignment of financial practices and operational needs. Act as the finance lead on cross-border projects, including entity setup, systems integration, and process automation. Technical Accounting & Policy: Provide guidance on technical accounting issues such as lease accounting, equity compensation, and revenue recognition under ASC 606. Maintain and update accounting policies and ensure consistent application across regions and business units. Process Improvement & Systems: Drive process improvements and automation in financial workflows, reconciliations, and reporting. Play a key role in ERP enhancements or implementations (NetSuite). Qualifications: Education & Certification: CA or CPA certification required. Experience: 10+ years of progressive accounting and controllership experience, with at least 5 years in a leadership role. Experience in a global professional services or consulting firm is strongly preferred. Proven success managing multi-entity, multi-currency operations across North America, Latin America, and Asia. Solid knowledge of US GAAP; Technical & Interpersonal Skills: Deep understanding of revenue recognition for service-based businesses (especially ASC 606). Strong ERP experience ( NetSuite) and Excel proficiency. Excellent communication and collaboration skills across cultures and time zones. Upload Your Profile Last Working Day Joining Date If Offered Supported file types *.doc, *.docx, *.pdf Uploading profile We have received your profile. Our Recruitment team will get in touch with you. Thank You.
Must have 4-6 years of Salesforce development experience (configuration experience) Knowledge of Salesforce Configurations Ability to design Objects and Relationships Knows the security model in Salesforce Understands QA processes SOQL query. Exposure to flows Knows best practices on process builders Record sharing and groups
Job ID: Azu-ETP-Pun-1090 Location: Pune,Other The Role: As a Lead Data Engineer specializing in Databricks, you will be a key player in designing, developing, and optimizing our next-generation data platform You will lead a team of data engineers, providing technical guidance, mentorship, and ensuring the scalable, and high-performance data solutions, Key Responsibilities Technical Leadership: Lead the design, development, and implementation of scalable and reliable data pipelines using Databricks, Spark, and other relevant technologies, Define and enforce data engineering best practices, coding standards, and architectural patterns, Provide technical guidance and mentorship to junior and mid-level data engineers, Conduct code reviews and ensure the quality, performance, and maintainability of data solutions, Databricks Expertise: Architect and implement data solutions on the Databricks platform, including Databricks Lakehouse, Delta Lake, and Unity Catalog, Optimize Spark workloads for performance and cost efficiency on Databricks, Develop and manage Databricks notebooks, jobs, and workflows, Proficiently use Databricks features such as Delta Live Tables (DLT), Photon, and SQL Analytics, Pipeline Development & Operations: Develop, test, and deploy robust ETL/ELT pipelines for data ingestion, transformation, and loading from various sources (e-g , relational databases, APIs, streaming data), Implement monitoring, alerting, and logging for data pipelines to ensure operational excellence, Troubleshoot and resolve complex data-related issues, Collaboration & Communication: Work closely with cross-functional teams including product managers, data scientists, and software engineers, Communicate complex technical concepts clearly to both technical and non-technical stakeholders, Stay updated with industry trends and emerging technologies in data engineering and Databricks Primary Skills Extensive hands-on experience with Databricks platform, including Databricks Workspace, Spark on Databricks, Delta Lake, and Unity Catalog, Strong proficiency in optimizing Spark jobs and understanding Spark architecture, Experience with Databricks features like Delta Live Tables (DLT), Photon, and Databricks SQL Analytics, Deep understanding of data warehousing concepts, dimensional modeling, and data lake architectures, Show more Show less
About the Role We are seeking a seasoned Senior Platform Engineer / Architect with deep expertise in Databricks, Unity Catalog, and Azure Data Factory (ADF), who can balance hands-on delivery with strategic leadership. This role requires strong technical capability combined with the ability to engage business stakeholders, drive platform modernization conversations, and provide thought leadership on data governance and engineering best practices. Key Responsibilities Architect and lead platform modernization initiatives, with a focus on Databricks Unity Catalog, data governance, and enterprise-grade scalability. Drive the design and implementation of data pipelines using Azure Data Factory, integrating diverse data sources into the Lakehouse ecosystem. Partner with business and technology stakeholders to define a strategic roadmap for platform evolution, governance, and self-service enablement. Provide thought leadership on data access, lineage, discoverability, and platform observability, ensuring compliance with enterprise security standards. Standardize and scale data ingestion, orchestration, and transformation frameworks using ADF, Spark, and Databricks. Lead reference architecture development, technical evaluations, and POCs to validate future-state designs. Collaborate with engineering teams on CI/CD, infrastructure-as-code, monitoring, and automation to ensure operational excellence. Mentor teams on best practices across data engineering, platform configuration, and governance workflows. Required Qualifications 8+ years of experience in data platform engineering or architecture, with demonstrable hands-on work in enterprise environments. Expertise in Databricks and Unity Catalog, including data security, access control, governance, and catalog management. Proven experience designing and orchestrating pipelines using Azure Data Factory, including parameterized and dynamic pipelines. Deep knowledge of Azure services, including ADLS Gen2, Azure DevOps, Key Vault, and networking considerations. Hands-on skills in Python/Scala, Spark, SQL, and data orchestration tools. Experience with infrastructure-as-code (Terraform, Bicep, ARM templates) and CI/CD automation. Strong communication skills, with a proven track record of driving business-facing conversations and aligning stakeholders on platform decisions.
We are looking for members with hands-on Python experience who will work on the internal and customer-based projects for Bridgenext. We are looking for someone who cares about the quality of code and who is passionate about providing the best solution to meet the client needs and anticipate their future needs based on an understanding of the market. Someone who worked on platform development projects including processing using various AWS Services. Must Have Skills: 8-12 years of overall experience Strong programming experience with Python and ability to write modular code following best practices in python which is backed by unit tests with high degree of coverage. Knowledge of source control(Git/Gitlabs) Understanding of deployment patterns along with knowledge of CI/CD and build tools Knowledge of Kubernetes concepts and commands is a must Knowledge of monitoring and alerting tools like Grafana, Open telemetry is a must Knowledge of Astro/Airflow is plus Knowledge of data governance is a plus Experience with Cloud providers, preferably AWS Experience with PySpark, Snowflake and DBT good to have. Professional Skills: Solid written, verbal, and presentation communication skills Strong team and individual player Maintains composure during all types of situations and is collaborative by nature High standards of professionalism, consistently producing high-quality results Self-sufficient, independent requiring very little supervision or intervention Demonstrate flexibility and openness to bring creative solutions to address issues
Bridgnext is a Global consulting company that provides technology-empowered business solutions for world-class organizations. Our Global Workforce of over 800 consultants provide best in class services to our clients to realize their digital transformation journey. Our clients span the emerging, mid-market and enterprise space. With multiple offices worldwide, we are uniquely positioned to deliver digital solutions to our clients leveraging Microsoft, Java and Open Source with a focus on Mobility, Cloud, Data Engineering and Intelligent Automation. Emtec s singular mission is to create Clients for Life long-term relationships that deliver rapid, meaningful, and lasting business value. At Bridgnext, we have a unique blend of Corporate and Entrepreneurial cultures. This is where you would have an opportunity to drive business value for clients while you innovate and continue to grow and have fun while doing it. You would work with team members who are vibrant, smart and passionate and they bring their passion to all that they do whether it s learning, giving back to our communities or always going the extra mile for our client. Position Description We are looking for members with hands-on Data Engineering experience who will work on the internal and customer-based projects for Bridgnext. We are looking for someone who cares about the quality of code and who is passionate about providing the best solution to meet the client needs and anticipate their future needs based on an understanding of the market. Someone who worked on Hadoop projects including processing and data representation using various AWS Services. Must Have Skills: 3-5years of overall experience Strong programming experience with Python, Spark Experience with unit testing, debugging, and performance tuning. Experience with cloud platforms (AWS preferred) Experience with CI/CD Gitlab pipelines Familiarity with workflow management tools like Airflow. Experience with Docker, Kubernetes, and DBT is a plus. Good to have experience with infrastructure-as-a-code technologies such as Terraform, Ansible Good to have experience in Snowflake modelling roles, schema, databases. Professional Skills: Solid written, verbal, and presentation communication skills Strong team and individual player Maintains composure during all types of situations and is collaborative by nature High standards of professionalism, consistently producing high-quality results Self-sufficient, independent requiring very little supervision or intervention Demonstrate flexibility and openness to bring creative solutions to address issues Upload Your Profile Joining Date If Offered Supported file types *.doc, *.docx, *.pdf Uploading profile We have received your profile. Our Recruitment team will get in touch with you. Thank You.
We re building the next generation of agentic AI platforms voice-first, adaptive, and outcome-driven. Our platform-as-a-service (PaaS) solution enables businesses to deploy intelligent, autonomous agents that drive real value through voice-enabled interfaces. We re seeking a visionary Lead Software Engineer to guide our technical strategy and help build systems that scale with performance and precision. Role Overview As a Lead Software Engineer , you will drive the development and delivery of core components in our agentic AI platform. You will play a hands-on leadership role in designing, building, and optimizing voice agent technologies, while fostering a high-performance engineering culture focused on delivering measurable business outcomes. This is a high-impact role that requires technical depth, leadership, and a bias for action. Key Responsibilities Lead architecture and full-stack development of PaaS solutions in the agentic AI and voice agent space. Collaborate cross-functionally with product, design, and business teams to define and deliver strategic initiatives. Drive hands-on development, including writing and reviewing code across the stack from backend services to voice interface integrations. Champion CI/CD best practices and modern DevOps workflows to ensure rapid, reliable, and secure deployment cycles. Identify and integrate emerging technologies, especially generative AI, as accelerators for product development and quality assurance. Mentor and inspire engineers to reach high standards of performance, ownership, and technical excellence. Ensure that all solutions are scalable, maintainable, and aligned with business goals and user needs. Required Qualifications 8+ years of experience in software engineering, with at least 3 years in a technical leadership or team lead role. Proven track record of delivering PaaS solutions in the agentic AI or voice AI domain. Deep expertise in voice agent technologies (e.g., ASR, TTS, NLU/NLP systems, conversational AI frameworks). Demonstrated success in driving projects that resulted in clear and measurable business outcomes. Strong proficiency in full-stack development (e.g., Node.js, Python, React, TypeScript, etc.). Experience building and maintaining robust CI/CD pipelines (e.g., GitHub Actions, Jenkins, CircleCI). Hands-on experience leveraging generative AI tools (e.g., LLMs, code generation, prompt engineering) to enhance engineering velocity. Excellent communication, collaboration, and team-building skills. Preferred Qualifications Experience with cloud-native architectures (AWS, GCP, or Azure). Familiarity with real-time systems, WebRTC, or telephony integrations (e.g., Twilio, SIP). Background in human-computer interaction, applied ML/AI, or systems for autonomous agents. Startup or high-growth environment experience.
At Bridgenext, we have a unique blend of Corporate and Entrepreneurial cultures. This is where you would have an opportunity to drive business value for clients while you innovate and continue to grow and have fun while doing it. You would work with team members who are vibrant, smart and passionate and they bring their passion to all that they do whether it s learning, giving back to our communities or always going the extra mile for our client. Position Description We are looking for members with hands-on Data Engineering experience who will work on the internal and customer-based projects for Bridgenext. We are looking for someone who cares about the quality of code and who is passionate about providing the best solution to meet the client needs and anticipate their future needs based on an understanding of the market. Someone who worked on Hadoop projects including processing and data representation using various AWS Services. Must Have Skills: 4-8 years of overall experience Strong programming experience with Python and ability to write modular code following best practices in python which is backed by unit tests with high degree of coverage. Knowledge of source control(Git/Gitlabs) Understanding of deployment patterns along with knowledge of CI/CD and build tools Knowledge of Kubernetes concepts and commands is a must Knowledge of monitoring and alerting tools like Grafana, Open telemetry is a must Knowledge of Astro/Airflow is plus Knowledge of data governance is a plus Experience with Cloud providers, preferably AWS Experience with PySpark, Snowflake and DBT good to have. Professional Skills: Solid written, verbal, and presentation communication skills Strong team and individual player Maintains composure during all types of situations and is collaborative by nature High standards of professionalism, consistently producing high-quality results Self-sufficient, independent requiring very little supervision or intervention Demonstrate flexibility and openness to bring creative solutions to address issues
Job Description We are seeking an experienced and visionary UX Lead Designer to define and drive the user experience strategy for a suite of web, mobile, and AI-powered applications. This role will lead the end-to-end UX process from discovery and research to design execution and usability validation ensuring cohesive, accessible, and delightful experiences across all digital platforms. The UX Lead Designer will collaborate closely with Product Owners, Business Analysts, and Engineering teams to translate complex workflows into intuitive, human-centered solutions that simplify life for residents, property managers, and board members. Required Qualifications 7+ years of experience in UX design, with at least 2+ years in a lead or principal role. Proven success leading UX initiatives for enterprise SaaS or large-scale web/mobile platforms. Strong expertise in user-centered design, information architecture, and interaction design principles. Proficiency in Figma, Adobe XD, or equivalent design and prototyping tools. Experience designing for multi-role systems and complex workflows. Strong collaboration and leadership skills capable of influencing design direction across cross-functional teams. Excellent communication and storytelling abilities to articulate design decisions to executives and stakeholders. Familiarity with Agile/Scrum environments and close collaboration with development teams. Excellent presentation and stakeholder management skills. Key Responsibilities Define and communicate a unified UX strategy that aligns with product roadmaps and business objectives. Plan and oversee user research, interviews, surveys, and contextual inquiries to deeply understand user behaviors, needs, and motivations. Guide and mentor UX/UI designers, fostering design excellence and consistency across products. Develop personas, journey maps, and service blueprints for complex multi-role systems (residents, managers, boards). Establish user flows, wireframes, and interaction models that simplify navigation and workflows. Lead the creation and governance of a shared design system for web, mobile, and emerging AI interfaces. Partner with Product Owners, Developers, and QA teams to ensure design intent and accessibility standards are upheld through implementation.
6+ years of experience in SRE, DevOps, or infrastructure management. Lead the NOC/SRE team from the front, ensuring a culture of proactive monitoring, rapid response, and continuous improvement. Act as the primary escalation point for major incidents, providing technical guidance and decision-making. Collaborate with DevOps, Engineering, and Product teams to enhance system reliability. Define best practices, incident response protocols, and runbooks for the team. Lead log tracing and deep troubleshooting for infrastructure, network, and application issues. Reduce MTTR (Mean Time to Resolution) and improve incident management processes. Expertise in troubleshooting complex infrastructure and application issues. Strong knowledge of log tracing, distributed tracing, and observability tools (e.g., ELK, Splunk, Grafana, Prometheus, OpenTelemetry). Deep understanding of SLAs, SLOs, and error budgets . Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). Good knowledge of Terraform, Kubernetes, Docker, and cloud architectures. Proficiency in monitoring and observability tools (New Relic, Prometheus, Datadog, etc.). Understanding of CI/CD pipelines, automation, and infrastructure as code (IaC). Basic scripting skills in Python, Go, Shell, or similar. Strong troubleshooting skills for complex distributed systems. Ability to mentor junior engineers and drive SRE best practices. Willingness to primarily work during 3:30 PM to 3:30 AM IST , with flexibility to adjust shifts as needed based on operational requirements Strong problem-solving skills and ability to work in a fast-paced environment. Strong incident management, troubleshooting, and RCA skills. Qualifications 6+ years of experience in Site Reliability Engineering (SRE) / NOC / DevOps roles. Proven leadership experience, managing or mentoring a team. Hands-on experience with Terraform for Infrastructure as Code (IaC). Experience in Python for automation and scripting . Expertise in troubleshooting complex infrastructure and application issues. Strong knowledge of log tracing, distributed tracing, and observability tools (e.g., ELK, Splunk, Grafana, Prometheus, OpenTelemetry). Deep understanding of SLAs, SLOs, and error budgets. Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). Familiarity with CI/CD pipelines and GitOps practices. Strong problem-solving skills and the ability to make quick, data-driven decisions under pressure. Upload Your Profile Last Working Day Joining Date If Offered Supported file types *.doc, *.docx, *.pdf Uploading profile We have received your profile. Our Recruitment team will get in touch with you. Thank You.
Job Description Bridgenext is seeking for a Senior DevOps Engineer who: Cares about the quality of deliverables and is passionate about providing the innovative solutions to meet the clients expectations. Understands Build Release Management process. Has Strong working experience on Azure DevOps and CI/CD Pipelines, Azure Cloud Infrastructure and different Azure services. Has Excellent communication skills (verbal and written) Possess the time management skills and should be able to work under important deadlines Can be a self-starter and should be able to motivate the team Must Have Skills: Good exposure to Azure Cloud infrastructure with strong troubleshooting skills on azure app service, azure functions, storage accounts, APIM, applications Gateway, Azure SQL, Cosmos DB etc. Understand and implement best practices on Azure. Good understanding of Azure Networking VNET, SUBNET, NSG Has Strong working experience on Azure DevOps. Has Strong working experience on creating, maintaining and troubleshooting Azure DevOps CI/CD Pipelines Infrastructure as a code using Azure Bicep and Terraforms. Total 4 to 7 years of experience. At least 2+ years of experience in DevOps activities build, release deployment. At least 2+ years of experience in GIT , PowerShell, or other scripting tools. At least 2+ years of experience in all aspects of the software lifecycle application structure, debugging, performance, security, and deployment. Stronfg understanding and experience on Observability tool like Datadog. Good to have skills: Good to have experience in setting up Kubernetes cluster and Dockerized solutions. Good to have exposure to SonarQube, Veracode or similar code quality analysis tools. Good to have understanding of .NET standard/framework and C#. Good to have understanding of Python.
Salesforce Automation QA Engineer Job ID: Sal-ETP-Ind-1197 Location: India Looking for automation engineer who will be responsible for ensuring the quality and reliability of Salesforce implementations through both manual testing and automation. Good understanding of Salesforce functionality, experience with QA methodologies, and proficiency in test automation tools. Key Responsibilities: Design, develop, and execute manual and automated test cases for Salesforce applications, including Sales Cloud, Service Cloud, and custom solutions. Nice to have Financial Service Cloud. Collaborate with developers, business analysts, and stakeholders to understand requirements and ensure comprehensive test coverage. Identify, document, and track defects; work with development teams to ensure timely resolution. Maintain and enhance test automation frameworks and scripts. Participate in regression, integration, and performance testing cycles. Ensure compliance with organizational QA standards and best practices. Qualifications: 3+ years of experience in Salesforce QA and automation testing. Proficiency in atleast one test automation tool (e.g., Selenium, Copado CRT, Provar). Hands ok experience with Programming Langauage(Java/Python) Good understanding of Salesforce architecture, workflows, and data models. Experience with Agile/Scrum methodologies. Analytical and problem-solving skills. Good communication and collaboration abilities.
Position The Bridgenext Senior Salesforce Developer plays a critical role in the success of building custom Salesforce solutions. They are involved in all aspects of our Agile delivery methodology and play a key role in ensuring that our solutions meet clients business needs. Our development team understands where out-of-the-box functionality ends and custom development begins. They are curious, proactive, and able to design features independently. Duties Responsibilities Work both independently and collaboratively with your team to deliver solutions that meet client expectations and acceptance criteria Potentially juggle 2 projects simultaneously, setting the correct expectations with project leadership on what can and cannot be accomplished given your commitments Provide solution implementation using a variety of technologies listed in the requirements. Be inquisitive, but practical. Provide guidance to team members on the implementation approaches for both your work and the work of others Participate in the code review process and also perform code reviews, as needed Maintain a strong familiarity with and adherence to Bridgenext s coding standards and best practices Write test methods as a feature of your codebase, and not just a deployment requirement Proactively complete peer surveys to support the feedback process for individuals and continual craft mastery Earn Salesforce Certifications to support career advancement Ability to work seamlessly within a team as well as manage individual tasks Experience Required 4+ years of Salesforce Development experience Strong understanding and execution of Salesforce concepts Experience with Salesforce packaging Ample experience with Agile/Scrum and test-driven development methodologies Able to demo to the client and justify your implementation approach to both technical and non-technical stakeholders Responsiveness to requests from project members and supervisors Salesforce JavaScript Dev I and/or Salesforce Platform Dev I certification Salesforce Platform Dev 2 certification (bonus) 4+ years high-level Salesforce application development experience (that s 4+ years of Apex, not 4+ years of creating objects, reports, and workflows). 4+ years developing advanced user interfaces on the Salesforce platform using Aura and/or Lightning Web Components Able to articulate object-oriented principles in multiple programming languages Highly proficient with SOQL, SOSL, Triggers, and Batch Intermediate+ core JavaScript skills Intermediate Visualforce knowledge Must use and understand GitHub / Bitbucket development practices Experience with common API and integration patterns Excellent written and verbal communication Preferred: Trailhead Trailblazer Rank of Expeditioner+ CSS skills are nice to have
Job Description We are seeking an experienced Business Analyst with a strong background in PropTech or real estate management solutions to analyze business requirements, document processes, and support the design and enhancement of digital platforms. The Business Analyst will serve as a bridge between business stakeholders and the technical delivery teams ensuring that product features, integrations, and system updates align with business needs and deliver measurable value across web, mobile, and AI-based applications. Required Qualifications 7+ years of experience in total where 4+ years of experience as a core Business Analyst in PropTech, real estate, or enterprise SaaS environments. Deep understanding of property management workflows including maintenance management, financial operations, resident portals, and community engagement systems. Proven experience in business and functional requirement gathering, process mapping, and user story documentation. Strong familiarity with Agile/Scrum delivery frameworks and experience collaborating with distributed development teams. Skilled in using tools such as Jira, Confluence, Azure DevOps, or equivalent platforms for documentation and tracking. Working knowledge of cloud platforms (Azure, AWS) and related integrations. Awareness of data security and privacy compliance considerations for large-scale resident and financial data systems. Strong analytical thinking and attention to detail. Excellent communication and stakeholder management skills able to engage with executives, developers, and end-users effectively. Demonstrated ability to facilitate discussions, resolve ambiguities, and drive consensus. Key Responsibilities Work with stakeholders to analyze, document, and validate business requirements for digital solutions across web, mobile, and AI platforms. Translate business needs into clear functional and non-functional specifications, ensuring alignment with product vision and technology capabilities. Collaborate with Product Owners to define and refine user stories, acceptance criteria, and workflow diagrams. Conduct gap analysis and process mapping to identify areas for system optimization and automation. Support the design and validation of UI/UX flows to ensure they meet business and user expectations. Coordinate with cross-functional teams (Engineering, QA, UX, DevOps, Operations) to ensure timely delivery and alignment on priorities. Participate in sprint planning, backlog refinement, and review sessions, contributing to continuous improvement initiatives. Assist in UAT planning and execution, ensuring developed solutions meet stakeholder expectations. Maintain comprehensive documentation including BRDs, FRDs, process maps, and data flow diagrams.
We are seeking a skilled and experienced Azure Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data solutions on the Azure cloud platform. The candidate should have a strong background in data engineering, including ETL processes, data warehousing, and database management. The role requires expertise in Azure services such as Azure Data Factory, Azure SQL Database, Azure Databricks, MDM process implementation and other relevant technologies. The Azure Data Engineer will collaborate with cross-functional teams to ensure the successful delivery of scalable and efficient data solutions. Minimum 5-8 Years of Experience in Data Integration platform on cloud (Azure preferred) Responsibilities: Solution Design and Architecture: Collaborate with stakeholders to understand business requirements and design scalable data solutions on the Azure platform. Create and maintain data architecture diagrams and documentation. MDM Tool & System Management Configure and maintain the MDM platform (e.g., Profisee) including data models, matching rules, survivorship logic, and hierarchy management. Oversee the integration and synchronization of master data between the MDM hub and consuming systems (e.g., ERP, CRM, BI tools). Act as the main point of contact for resolving complex master data issues and system errors. Data Ingestion and ETL: Develop and implement ETL processes using Azure Data Factory, Azure Databricks, and other relevant tools. Design and optimize data pipelines to ensure efficient data processing and transformation. Data Storage and Management: Implement and manage Azure SQL Database, Azure Data Lake Storage, and other Azure data storage solutions. Ensure data integrity, security, and compliance with industry best practices and organizational standards. Data Transformation and Processing: Utilize Azure Databricks and other tools for data transformation and processing. Optimize queries and data processing workflows for performance and efficiency. Monitoring and Optimization: Implement monitoring solutions to track the performance and health of data solutions. Identify and resolve performance bottlenecks and optimize data processing workflows. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Communicate effectively with technical and non-technical audiences, providing insights and recommendations. Automation and Scripting: Develop scripts and automation processes to streamline data engineering tasks. Implement infrastructure as code (IaC) for managing Azure resources. Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer with a focus on Azure cloud technologies. In-depth knowledge of Azure Data Factory, Azure SQL Database, Azure Databricks, and other relevant Azure services. Strong proficiency in SQL, Python, and/or other scripting languages. Experience with data modeling, schema design, and database performance tuning. Familiarity with data warehousing concepts and best practices. Excellent problem-solving and analytical skills. Effective communication and collaboration skills. Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus. If you meet these qualifications and are excited about the opportunity to work with cutting-edge Azure technologies to solve complex data challenges, we encourage you to apply. Join our team and be a key contributor to the success of our data-driven initiatives. Upload Your Profile Last Working Day Joining Date If Offered Supported file types *.doc, *.docx, *.pdf Uploading profile We have received your profile. Our Recruitment team will get in touch with you. Thank You.
As a Lead Data Engineer specializing in Databricks & Master Data Management, you will be a key player in designing, developing, and optimizing our next-generation data platform. You will lead a team of data engineers, providing technical guidance, mentorship, and ensuring the scalable, and high-performance data solutions. Key Responsibilities: Technical Leadership: Lead the design, development, and implementation of scalable and reliable data pipelines using Databricks, Spark, and other relevant technologies. Define and enforce data engineering best practices, coding standards, and architectural patterns. Provide technical guidance and mentorship to junior and mid-level data engineers. Conduct code reviews and ensure the quality, performance, and maintainability of data solutions. Databricks Expertise: Architect and implement data solutions on the Databricks platform, including Databricks Lakehouse, Delta Lake, and Unity Catalog. Optimize Spark workloads for performance and cost efficiency on Databricks. Develop and manage Databricks notebooks, jobs, and workflows. Proficiently use Databricks features such as Delta Live Tables (DLT), Photon, and SQL Analytics. Master Data Management: Lead the technical design and implementation of the MDM solution (either using a dedicated tool or custom MDM on Databricks) for critical domains (e.g., Customer, Product, Vendor). Define and implement data quality rules, entity resolution, matching, and survivorship logic to create and maintain Golden Records. Partner with Data Governance and Data Stewardship teams to define and enforce organizational policies, standards, and data definitions for master data assets. Ensure seamless and timely provisioning of high-quality master data from the MDM/Lakehouse platform to downstream consuming systems (ERP, CRM, BI). Pipeline Development & Operations: Develop, test, and deploy robust ETL/ELT pipelines for data ingestion, transformation, and loading from various sources (e.g., relational databases, APIs, streaming data). Implement monitoring, alerting, and logging for data pipelines to ensure operational excellence. Troubleshoot and resolve complex data-related issues. Collaboration & Communication: Work closely with cross-functional teams including product managers, data scientists, and software engineers. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Stay updated with industry trends and emerging technologies in data engineering and Databricks Primary Skills : Extensive hands-on experience with Databricks platform, including Databricks Workspace, Spark on Databricks, Delta Lake, and Unity Catalog. Strong proficiency in optimizing Spark jobs and understanding Spark architecture. Experience with Databricks features like Delta Live Tables (DLT), Photon, and Databricks SQL Analytics. Deep understanding of data warehousing concepts, dimensional modeling, and data lake architectures. Familiarity with data governance and cataloging tools (e.g., Purview, Profisee). Upload Your Profile Last Working Day Joining Date If Offered Supported file types *.doc, *.docx, *.pdf Uploading profile We have received your profile. Our Recruitment team will get in touch with you. Thank You.