nexquare

Responsibilities Own overall relationship with clients, which includes managing onboarding, implementation, training, increasing adoption, and ensuring retention. Serve as day-to-day contact for clients, build trust and rapport while identifying areas of opportunity, highlighting best practices, and documenting them. Establish a trusted and strategic advisor relationship to help drive the continued value of our products and services. Drive the resolution of issues escalated by clients and ensure high levels of client satisfaction. Communicate effectively with both internal and external stakeholders to understand client needs, maximize retention and growth, and communicate learnings. Collaborate, problem solve, and/or strategize upcoming client meetings with internal team members. Gather, analyze, and own CS metrics and data as directed, for assigned accounts. Requirements 2-5 years of experience in key account management or client-facing roles. Strong verbal and written communication skills. Analytical and process-oriented mindset. Technical competence and understanding of SaaS preferred. Active team player, self-starter, and multitasker who can quickly adjust priorities. Passionate about business results and quality, with a strong sense of accountability and ownership Strong ability to problem solve and passion to learn. Open to travel to client locations on short notice, when required. This job was posted by Meenal Sharma from Zenda. Show more Show less

Responsibilities Own overall relationship with clients, which includes managing onboarding, implementation, training, increasing adoption, and ensuring retention. Serve as day-to-day contact for clients, build trust and rapport while identifying areas of opportunity, highlighting best practices, and documenting them. Establish a trusted and strategic advisor relationship to help drive the continued value of our products and services. Drive the resolution of issues escalated by clients and ensure high levels of client satisfaction. Communicate effectively with both internal & external stakeholders to understand client needs, maximize retention and growth, and communicate learnings. Collaborate, problem solve, and/or strategize upcoming client meetings with internal team members. Gather, analyze, and own CS metrics & data as directed, for assigned accounts. Requirements 2-5 years of experience in key account management or client-facing roles. Strong verbal and written communication skills. Analytical and process-oriented mindset. Technical competence and understanding of SaaS preferred. Active team player, self-starter, and multitasker who can quickly adjust priorities. Passionate about business results and quality, with a strong sense of accountability and ownership Strong ability to problem solve and passion to learn. Open to travel to client locations on short notice, when required. This job was posted by Meenal Sharma from Zenda. Show more Show less

As a Data Engineer specializing in Data Warehousing and Business Intelligence, you will play a critical role in architecting scalable data warehouses and optimizing ETL pipelines to support analytics and reporting needs. Your expertise in SQL query optimization, database management, and data governance will ensure data accuracy, consistency, and completeness across structured and semi-structured datasets. You will collaborate with cross-functional teams to propose and implement data solutions, leveraging your strong SQL skills and hands-on experience with MySQL, PostgreSQL, and Spark. Your proficiency in tools like Apache Airflow for workflow orchestration and BI platforms such as Power BI, Tableau, and Apache Superset will enable you to create insightful dashboards and reports that drive informed decision-making. A key aspect of your role will involve implementing data governance best practices, defining data standards, access controls, and policies to maintain a well-governed data ecosystem. Your ability to troubleshoot data challenges independently and identify opportunities for system improvements will be essential in ensuring the efficiency and effectiveness of data operations. If you have 5-7 years of experience in data engineering and BI, along with a strong understanding of data modeling techniques, this position at Zenda offers you the opportunity to make a significant impact by designing and developing innovative data solutions. Experience with dbt for data transformations would be a bonus, showcasing your expertise in enhancing data transformation processes.,

You will be responsible for designing and building scalable and efficient data warehouses to support analytics and reporting needs. Additionally, you will develop and optimize ETL pipelines by writing complex SQL queries and automating data pipelines using tools like Apache Airflow. Your role will also involve query optimization, performance tuning, and database management with MySQL, PostgreSQL, and Spark for structured and semi-structured data. Ensuring data quality and governance will be a key part of your responsibilities, where you will validate, monitor, and enforce practices to maintain data accuracy, consistency, and completeness. You will implement data governance best practices, define data standards, access controls, and policies to uphold a well-governed data ecosystem. Data modeling, ETL best practices, BI dashboarding, and proposing/implementing solutions to improve existing systems will also be part of your day-to-day tasks. Collaboration and problem-solving are essential in this role as you will work independently, collaborate with cross-functional teams, and proactively troubleshoot data challenges. Experience with dbt for data transformations is considered a bonus for this position. To qualify for this role, you should have 5-7 years of experience in the data domain, with expertise in data engineering and BI. Strong SQL skills, hands-on experience with data warehouse concepts, ETL best practices, and proficiency in MySQL, PostgreSQL, and Spark are required. Experience with Apache Airflow, data modeling techniques, BI tools like Power BI, Tableau, Apache Superset, data quality frameworks, and governance policies are also essential. The ability to work independently, identify problems, and propose effective solutions is crucial. If you are looking to join a dynamic team at Zenda and have the required experience and skills, we encourage you to apply for this position.,

You will be responsible for designing and building data warehouses to support analytics and reporting needs. This includes architecting scalable and efficient data warehouses. Additionally, you will be developing and optimizing ETL pipelines by writing complex SQL queries and utilizing tools like Apache Airflow for automation. Query optimization and performance tuning will be a key aspect of your role, where you will focus on writing efficient SQL queries for both ETL jobs and dashboards in BI tools. Database management is another crucial responsibility, involving working with MySQL, PostgreSQL, and Spark to manage structured and semi-structured data. You will also ensure data quality and governance by validating, monitoring, and implementing governance practices to maintain data accuracy, consistency, and completeness. Implementing data governance best practices, defining data standards, access controls, and policies will be essential to maintain a well-governed data ecosystem. Your role will also include focusing on data modeling and ETL best practices to ensure robust data modeling and the application of best practices for ETL development. Working with BI tools such as Power BI, Tableau, and Apache Superset to create insightful dashboards and reports will also be part of your responsibilities. You will identify and propose improvements to existing systems and take ownership of designing and developing new data solutions. Collaboration and problem-solving are integral to this role, as you will work independently, collaborate with cross-functional teams, and proactively troubleshoot data challenges. Experience with dbt for data transformations is a bonus. Requirements for this role include 5-7 years of experience in the data domain encompassing data engineering and BI. Strong SQL skills with expertise in writing efficient and complex queries are essential. Hands-on experience with data warehouse concepts and ETL best practices, proficiency in MySQL, PostgreSQL, and Spark, and experience using Apache Airflow for workflow orchestration are also required. A strong understanding of data modeling techniques for analytical workloads, experience with Power BI, Tableau, and Apache Superset for reporting and dashboarding, familiarity with data quality frameworks, data validation techniques, and governance policies are prerequisites. The ability to work independently, identify problems, and propose effective solutions is crucial. Experience with dbt for data transformations is a bonus. This job opportunity was posted by Meenal Sharma from Zenda.,

Responsibilities Design, develop, and maintain software applications using Java, Spring, Hibernate, JSPs, and MySQL. Collaborate with cross-functional teams to define, design, and implement new features. Ensure application performance, scalability, and security. Develop and integrate RESTful APIs and other web services. Participate in code reviews, providing constructive feedback to peers. Stay informed about the latest industry trends and technologies to keep solutions current and effective. Requirements 2-4 years of experience in Java development. Strong algorithmic and problem-solving skills with a passion for innovation. Solid understanding of SDLC processes, practices, and tools. Proven experience in ensuring application performance, scalability, and security. Hands-on experience with Java, Spring, Hibernate, JSPs, and MySQL. Mandatory knowledge of web services (RESTful APIs) and software integrations. Excellent communication and collaboration skills. Ability to thrive in a fast-paced environment and manage multiple tasks effectively. This job was posted by Rohith Suvvari from Zenda.