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We are looking for a skilled Data Engineer to design, build, and maintain scalable, secure, and high-performance data solutions. This role spans the full data engineering lifecycle - from research and architecture to deployment and support- within cloud-native environments, with a strong focus on AWS and Kubernetes (EKS). Primary Responsibilities: Data Engineering Lifecycle: Lead research, proof of concept, architecture, development, testing, deployment, and ongoing maintenance of data solutions Data Solutions: Design and implement modular, flexible, secure, and reliable data systems that scale with business needs Instrumentation and Monitoring: Integrate pipeline observability to detect and resolve issues proactively Troubleshooting and Optimization: Develop tools and processes to debug, optimize, and maintain production systems Tech Debt Reduction: Identify and address legacy inefficiencies to improve performance and maintainability Debugging and Troubleshooting: Quickly diagnose and resolve unknown issues across complex systems Documentation and Governance: Maintain clear documentation of data models, transformations, and pipelines to ensure security and governance compliance Cloud Expertise: Leverage advanced skills in AWS and EKS to build, deploy, and scale cloud-native data platforms Cross-Functional Support: Collaborate with analytics, application development, and business teams to enable data-driven solutions Team Leadership: Lead and mentor engineering teams to ensure operational efficiency and innovation Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in Computer Science or related field 5+ years of experience in data engineering or related roles Proven experience designing and deploying scalable, secure, high-quality data solutions Solid expertise in full Data Engineering lifecycle (research to maintenance) Advanced AWS and EKS knowledge Proficient in CI/CD, IaC, and addressing tech debt Proven skilled in monitoring and instrumentation of data pipelines Proven advanced troubleshooting and performance optimization abilities Proven ownership mindset with ability to manage multiple components Proven effective cross-functional collaborator (DS, SMEs, and external teams). Proven exceptional debugging and problem-solving skills Proven solid individual contributor with a team-first approach #njp

The Development Lead will oversee the design, development, and delivery of advanced data solutions using Azure Databricks, SQL, and data visualization tools like Power BI. The role involves leading a team of developers, managing data pipelines, and creating insightful dashboards and reports to drive data-driven decision-making across the organization. The individual will ensure best practices are followed in data architecture, development, and reporting while maintaining alignment with business objectives. Key Responsibilities: Data Integration & ETL Processes: Design, build, and optimize ETL pipelines to manage the flow of data from various sources into data lakes, data warehouses, and reporting platforms. Data Visualization & Reporting: Lead the development of interactive dashboards and reports using Power BI, ensuring that business users have access to actionable insights and performance metrics. SQL Development & Optimization: Write, optimize, and review complex SQL queries for data extraction, transformation, and reporting, ensuring high performance and scalability across large datasets. Azure Cloud Solutions: Implement and manage cloud-based solutions using Azure services (Azure Databricks, Azure SQL Database, Data Lake) to support business intelligence and reporting initiatives. Collaboration with Stakeholders: Work closely with business leaders and cross-functional teams to understand reporting and analytics needs, translating them into technical requirements and actionable data solutions. Quality Assurance & Best Practices: Implement and maintain best practices in development, ensuring code quality, version control, and adherence to data governance standards. Performance Monitoring & Tuning: Continuously monitor the performance of data systems, reporting tools, and dashboards to ensure they meet SLAs and business requirements. Documentation & Training: Create and maintain comprehensive documentation for all data solutions, including architecture diagrams, ETL workflows, and data models. Provide training and support to end-users on Power BI reports and dashboards. Required Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Proven experience as a Development Lead or Senior Data Engineer with expertise in Azure Databricks, SQL, Power BI, and data reporting/visualization. Hands-on experience in Azure Databricks for large-scale data processing and analytics, including Delta Lake, Spark SQL, and integration with Azure Data Lake. Strong expertise in SQL for querying, data transformation, and database management. Proficiency in Power BI for developing advanced dashboards, data models, and reporting solutions. Experience in ETL design and data integration across multiple systems, with a focus on performance optimization. Knowledge of Azure cloud architecture, including Azure SQL Database, Data Lake, and other relevant services. Experience leading agile development teams, with a strong focus on delivering high-quality, scalable solutions. Strong problem-solving skills, with the ability to troubleshoot and resolve complex data and reporting issues. Excellent communication skills, with the ability to interact with both technical and non-technical stakeholders. Preferred Qualifications: Knowledge of additional Azure services (e.g., Azure Synapse, Data Factory, Logic Apps) is a plus. Experience in Power BI for data visualization and custom calculations.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure PaaS Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Any Btech degree Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Ensure timely delivery of projects- Provide technical guidance and support to the team Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure PaaS- Strong understanding of cloud computing principles- Experience in designing and implementing scalable cloud solutions- Knowledge of Azure services such as Azure App Service, Azure Functions, and Azure SQL Database- Hands-on experience in deploying and managing applications on Azure Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Azure PaaS- This position is based at our Pune office- A Btech degree is required Qualification Any Btech degree

We are seeking a Dynamics 365 Engineer with over 10 years of experience in configuration, customization, workflows, and plugins development. This role involves designing, configuring, and supporting Dynamics 365 CRM and Power Platform environments, along with integrations with ERP systems like QAD and SAP. The candidate must have expertise in using web technologies such as ASP.net, HTML, JavaScript, and .Net Core for developing CRM components, handling database integrations with Azure SQL, SQL Server, and other tools like SSIS and Kingsway Soft. The candidate should also be proficient in end-to-end CRM development, handling deployments, and working closely with US clients to manage requirements and guide the team in India.

(A) should have hands-on experience in designing and implementing data solutions using Azure data services, including Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics. (B) Experience in setting up, managing Data Lake.

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Responsibilities Installation, administration and maintenance of multiple SQL Server instances. Setup environments for use within the end to end software delivery lifecycle. Define, design & implement control procedures. Backup monitoring and continuous review of the backup strategy. Troubleshoot and resolve issues quickly. Performance monitoring and tuning. Query tuning (Index maintenance and management, housekeeping, memory, CPU, Disk I/O etc.) Planning and execution of Service Pack upgrades. Work alongside project teams (analysts, developers, testers and implementation managers) during software release and patching. Adhere to change management procedures. Working closely with other team members. Complete structured and systematic testing. Track and report on regular tasks executed to ensure system availability maintaining a continuous improvement roadmap. Pro-actively identify productivity opportunities. Ensure correct procedures are adhered to as tasks are being progressed. Experience in a Windows based 24/7 environment including 1st/2nd line support. Involved in the design and build of new systems, including high-availability and disaster recovery solutions. Skills Required Min. 8+ years of Exp in Microsoft SQL Server 2016, 2019, Azure SQL. A bachelors degree in computer science or a related discipline Extensive knowledge of SQL and SQL server tools Experience in Database Performance, Development and Maintenance In-depth understanding of database security, backup and recovery, and performance monitoring requirements Familiarity with relational and dimensional data modelling Extensive knowledge in database design, implementation, and conversion Knowledge of PowerShell and Unix shell scripting Experience with SSAS, SSIS, and SSRS A solid mathematics and statistical skills Outstanding writing and verbal communication abilities Meticulous attention to detail MCSE/MCSA certificates preferred Working knowledge of Linux and Windows Server infrastructures Extensive knowledge of database technologies (MySQL, MS SQL, PostgreSQL Oracle, MongoDB) Prior experience with cloud services (AWS, Microsoft Azure) Excellent time management and decision making skills. Excellent communication skills in both English written and verbal. Background in the financial Industry preferable DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

The Role As a Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Responsible for designing and implementing scalable, secure, and efficient microservices-based solutions using services in Microsoft Azure Platform (Primary Platform). Architectural Design: Engage with Business Stakeholders to understand the requirements and translate it into a scalable, robust Solution Design which will encompass Data Modelling, API Design, Infrastructure Design and App Integration. Experience in building multi-tenant applications will be an added advantage. Cloud First Approach: Design and implement cloud solutions using Azure native resources, including PaaS, SaaS, and IaaS. Collaboration: Work closely with cross-functional teams, including developers, product managers, and operations staff, to ensure seamless integration and alignment with business objectives. Security and Compliance: Ensure that Solution Design is reviewed and approved by the Enterprise Architecture Team and InfoSec team by meeting the compliance requirement standards. Technical Leadership: Be the Technical SME during Requirements Gathering, Issue Triaging meetings, 3rd Party Software evaluations. About You To be considered for this role it is envisaged you will possess the following attributes: Strong hands-on experience in Implementing Microservice based Solutions. Expertise in Azure services like Azure Kubernetes Service (AKS), Azure Functions, Azure Blob Storage, Azure SQL, Azure APIM, Application Gateways. Good understanding of OWASP Vulnerabilities and their remediation. Strong understanding of microservices architecture principles, containerization (e.g., Docker, Kubernetes), and API design. Strong understanding Data Architecture, Data Modelling, Data Management, Data Integration patterns and challenges. Experience with scalable data platforms and solutions integrating and standardising data from different enterprise applications. Additional Advantage: Having one or more certifications as a Solution Architect in any of the leading Cloud Platforms. Experience with EPC(Engineering, Procurement and Construction) Customers Understanding of TOGAF ADM Cycle.

Your Role Design end-to-end architecture for enterprise-grade applications using Azure and .NET technologies. Define and document architecture principles, patterns, and standards. Lead technical discussions with stakeholders, developers, and DevOps teams. Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform. Your Profile 10+ years of experience in software development with at least 5 years in architecture roles. Strong expertise in .NET Core / .NET 6+, C#, ASP.NET, Web API, and microservices architecture. Deep knowledge of Microsoft Azure servicesApp Services, Azure Functions, Azure Kubernetes Service (AKS), Azure SQL, Cosmos DB, Azure DevOps, etc. Experience with CI/CD pipelines, Infrastructure as Code (ARM/Bicep/Terraform), and DevOps practices What you"ll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you canbring your original self to work .

Role & responsibilities Responsibilities: - Design, develop, and maintain the company's data applications. Work with product management team and analysts to build and deploy data[1]driven solutions. Develop and implement data model and data quality. Work with stakeholders to understand the data needs and requirements. Provide technical leadership to the data engineering team. Stay up to date on the latest data engineering trends and technologies. Perform periodic code reviews to ensure that the code is rigorously designed, coded, and effectively tuned for performance Experience: - 3- 7 Years Location: - Pune, Chennai Technical certification in multiple technologies is desirable. Educational Qualifications: - Engineering Degree BE / ME / BTech / M Tech / B.Sc. / M.Sc. Skills: - Mandatory Technical skills Strong knowledge on SQL Any one ETL/ELT platforms development experience and building data pipelines (real-time, batch) Knowledge of Distributed computing, Big Data Concepts and PySpark Experience in integrating and processing semi-structured/un-structured files and data processing, data preparation, and data quality, and more Strong understanding of data warehousing and data lakes Excellent communication and interpersonal skills Ability to work under pressure and meet deadlines Good to have skills: - Hands-on experience in at least 1 Cloud Hyperscaler’s (AWS/Azure) data services Hands-on experience in Azure Cloud (Azure HD Insights, Azure Data Factory, ADF, Synapse) or AWS Cloud (AWS EMR, Athena, Glue, Kinesis, Firehose, AWS Step functions, Amazon QuickSight, Athena, Redshift) Experience in designing and developing ETL large scale data pipelines Knowledge of data engineering tools and technologies Experience in handling healthcare clients and data Preferred candidate profile

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Python (Programming Language), Kubernetes, Microsoft Azure Databricks Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning to align application development with organizational goals, ensuring that all aspects of the project are executed efficiently and effectively. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to discuss progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), Microsoft Azure Databricks, Kubernetes.- Strong experience in application design and architecture.- Familiarity with cloud computing concepts and services.- Ability to troubleshoot and optimize application performance.- Experience with version control systems such as Git. Additional Information:- The candidate should have minimum 9+ years of experience in Python (Programming Language), Microsoft Azure Databricks, Kubernetes.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Required Skills & Experience Required Profile 8+ years of experience on Database warehouse / lake house programming Experience in implementing at least 2 end-to-end data warehouse / data lake projects

SymphonyAI is a global leader in AI-driven enterprise applications, transforming industries with cutting-edge artificial intelligence and machine learning solutions. We empower organizations across retail, CPG, financial services, manufacturing, media, enterprise IT and the public sector by delivering data-driven insights that drive business value. Headquartered in Palo Alto, California, SymphonyAI has a wide range of products and a strong global presence, with operations in North America, Southeast Asia, the Middle East, and India. The company is dedicated to fostering a high-performance culture and maintaining its position as one of the largest and fastest-growing AI portfolios in the industry. Job Description About the Role We are looking for a Data Warehouse Engineer with strong expertise across the Azure Data Platform to design, build, and maintain modern data warehouse and analytics solutions. This role requires hands-on experience with Azure Synapse Analytics, Data Factory, Data Lake, Azure Analysis Services, and Power BI . The ideal candidate will ensure seamless data ingestion, storage, transformation, analysis, and visualization, enabling the business to make data-driven decisions. Key Responsibilities Data Ingestion & Orchestration 10-15years of experience in designing and building scalable ingestion pipelines using Azure Data Factory . Integrate data from multiple sources (SQL Server, relational databases, Azure SQL DB, Cosmos DB, Table Storage). Manage batch and real-time ingestion into Azure Data Lake Storage . Data Storage & Modelling Develop and optimize data warehouse solutions in Azure Synapse Analytics . Implement robust ETL/ELT processes to ensure data quality and consistency. Create data models for analytical and reporting needs. Data Analysis & Security Build semantic data models using Azure Analysis Services for enterprise reporting. Collaborate with BI teams to deliver well-structured datasets for reporting in Power BI . Implement Azure Active Directory for authentication, access control, and security best practices. Visualization & Business Support Support business teams in building insightful Power BI dashboards and reports . Translate business requirements into scalable and optimized BI solutions. Provide data-driven insights in a clear, business-friendly manner. Optimization & Governance Monitor system performance and optimize pipelines for efficiency and cost control. Establish standards for data governance, data quality, and metadata management . Qualifications & Skills Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or related field. Proven experience as a Data Warehouse Engineer / Data Engineer with strong expertise in: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Azure Analysis Services Azure SQL Database / SQL Server Power BI (reporting & dashboarding) Strong proficiency in SQL and data modelling (star schema, snowflake schema, dimensional modelling). Knowledge of Azure Active Directory for authentication & role-based access control. Excellent problem-solving skills and ability to optimize large-scale data solutions. Strong communication skills to collaborate effectively with both technical and business stakeholders.

Role Responsibilities Design, develop, and maintain the organization's business intelligence and reporting dashboards. Design, develop, and maintain data models and feeds for report development. Prepare insights based on data and reporting solutions. Collaborate with business stakeholders to understand reporting and analysis needs and translate them into technical requirements. Ensure that data is accurate and easily accessible for reporting and analysis. Develop and maintain persona-based dashboards, management reports and executive views to provide business insights. Experienced in Power BI to understand business needs and deliver technical solutions. Follow, learn, and share best practices for Power BI development. Ensure compliance with security and data privacy policies and regulations. Manage and prioritize workload and identify opportunities to streamline processes and improve efficiency. Keep up to date with industry trends and emerging technologies and evaluate their potential impact on business intelligence and reporting. Qualifications & Skills Bachelor's degree in Computer Science, Information Systems, or a related field Master of Business Administration preferred. At least 4 years of experience in business intelligence and reporting, with a focus on data visualization, dashboards, and reporting. Demonstrated experience with Microsoft Power BI, with proficiency in complex DAX, Power Query, tabular data modeling, visualizations, RLS, composite modeling, Power BI Service, Licensing, etc. Strong understanding of database systems, analytical processing, data modeling and ETL/DWH framework. Worked in advanced SQL and database technologies such as Microsoft SQL Server, Azure SQL Server, Oracle, and MySQL, and Amazon Redshift SQL. Experience with cloud-based data storage and processing technologies such as AWS or Azure Data Factory is a plus. Experience in end-to-end implementation projects as well as maintenance & support projects is a plus. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams. Experienced across requirement analysis, solutioning, designing, modeling, implementation, testing, end-user communication. Work in diverse environments - geographical, cultural, and business is preferred. Ability to adapt to changing reporting requirements, priorities, and project timelines. Experience in Banking or Financial Services industry is a plus. Experience in Agile methodologies is preferred. Experience in Microsoft Excel, SharePoint Online, PowerAutomate, Draw.io, Power Apps, Administration, Governance, REST API, PowerShell, JavaScript, DAX Studio, Tabular Editor, Python, R programming, is a plus. Certification in Microsoft Power BI or SQL is a plus. Must Have: SQL (Minimum 3 4 years of hands-on experience), DAX, Power BI, Power Query, M Query. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata.

Job Summary Synechron is seeking a detail-oriented and analytical Python Developer to join our data team. In this role, you will design, develop, and optimize data pipelines, analysis tools, and workflows that support key business and analytical functions. Your expertise in data manipulation, database management, and scripting will enable the organization to enhance data accuracy, efficiency, and insights. This position offers an opportunity to work closely with data analysts and scientists to build scalable, reliable data solutions that contribute directly to business decision-making and operational excellence. Software Requirements Required Skills: Python (version 3.7 or higher) with experience in data processing and scripting Pandas library (experience in large dataset manipulation and analysis) SQL (proficiency in writing performant queries for data extraction and database management) Data management tools and databases such as MySQL, PostgreSQL, or similar relational databases Preferred Skills: Experience with cloud data services (AWS RDS, Azure SQL, GCP Cloud SQL) Knowledge of additional Python libraries such as NumPy, Matplotlib, or Jupyter Notebooks for data analysis and visualization Data pipeline orchestration tools (e.g., Apache Airflow) Version control tools like Git Overall Responsibilities Develop, test, and maintain Python scripts for ETL processes and data workflows Utilize Pandas to clean, analyze, and transform large datasets efficiently Write, optimize, and troubleshoot SQL queries for data extraction, updates, and management Collaborate with data analysts and scientists to create data-driven analytic tools and solutions Automate repetitive data workflows to increase operational efficiency and reduce errors Maintain detailed documentation of data processes, pipelines, and procedures Troubleshoot data discrepancies, pipeline failures, and database-related issues efficiently Support ongoing data quality initiatives by identifying and resolving data inconsistencies Technical Skills (By Category) Programming Languages: Required: Python (3.7+), proficiency with data manipulation and scripting Preferred: Additional scripting languages such as R or familiarity with other programming environments Databases/Data Management: Relational databases: MySQL, PostgreSQL, or similar Experience with query optimization and database schema design Cloud Technologies: Preferred: Basic experience with cloud data services (AWS, Azure, GCP) for data storage and processing Frameworks and Libraries: Pandas, NumPy, Matplotlib, Jupyter Notebooks for data analysis and visualization Airflow or similar orchestration tools (preferred) Development Tools and Methodologies: Git or similar version control tools Agile development practices and collaborative workflows Security Protocols: Understanding of data privacy, confidentiality, and secure coding practices Experience Requirements 3+ years of experience in Python development with a focus on data processing and management Proven hands-on experience in building and supporting ETL workflows and data pipelines Strong experience working with SQL and relational databases Demonstrated ability to analyze and manipulate large datasets efficiently Familiarity with cloud data services is advantageous but not mandatory Day-to-Day Activities Write and enhance Python scripts to perform ETL, data transformation, and automation tasks Design and optimize SQL queries for data extraction and updates Collaborate with data analysts, scientists, and team members during daily stand-ups and planning sessions Investigate and resolve data quality issues or pipeline failures promptly Document data pipelines, workflows, and processes for clarity and future maintenance Assist in developing analytical tools and dashboards for business insights Review code changes through peer reviews and ensure adherence to best practices Participate in continuous improvement initiatives related to data workflows and processing techniques Qualifications Bachelors degree in Computer Science, Data Science, Information Technology, or a related field Relevant certifications or training in Python, data engineering, or database management are a plus Proven track record of working on data pipelines, analysis, and automation projects Professional Competencies Strong analytical and problem-solving skills with attention to detail Effective communication skills, able to collaborate across teams and explain technical concepts clearly Ability to work independently and prioritize tasks effectively Continuous learner, eager to adopt new tools, techniques, and best practices in data processing Adaptability to changing project requirements and proactive in identifying process improvements Focused on delivering high-quality work with a results-oriented approach

We are looking for a Senior Database Engineer to administrator and maintain NoSQL and relational SQL Server/MySQL Databases. The candidate will be part of the team providing operations support on multiple No SQL clusters running on Azure and will be responsible to install, configure, monitor, design, implement and support our mission critical MongoDB, Cosmos, Couchbase and SQL Server environments. The ideal candidate should be a fast learner, eager, passionate about automating development and production environments, and enjoy the challenge of working in a highly distributed and dynamic Hybrid Cloud environment. As part of service-oriented team, the role will require the individual to collaborate effectively with other internal engineering teams to gather requirements to deliver on various database platforms. There will be plenty of opportunities for developing your skills, as we look to improve constantly with the latest technologies. Essential Responsibilities Create, Administer, Monitor, and Maintain multiple Elasticsearch, MongoDB, and Cosmos and Couchbase environments. Work with development teams to design and implement optimized NoSQL databases.Implement relational databases, tables, and table changes. Support application development for problem solving and performance tuning. Assist in administering, monitoring, and maintaining SQL Server environments, including for disaster recovery. Work on new and existing logical/physical database designs for applications and infrastructure. Provides after-hours support for database emergencies, routine scheduled maintenance, and database server patching. Works closely with the business and engineering teams to understand and plan for storage and database needs. Implementation, configuration, maintenance, and performance of SQL Server RDBMS systems, to ensure the availability and operational readiness (security, health, and performance) of our corporate applications in cloud (managing Cloud Infrastructure related to SQL Data Services in Azure). Assist app dev teams with complex query tuning and schema refinement. Utilize various tools to evaluate performance and implement remedies to improve performance, including tuning database parameters and SQL statements. Required Qualifications 8+ years of experience in working in Database, Data Management, or Engineering roles. 6+ years of progressive experience in high volume/high transaction data administration, with at least 3 years working with Microsoft Azure Cloud technologies. 6+ years of experience managing NoSQL databases such as Couchbase, MongoDB, CosmosDB. 2+ years of experience in ElasticSearch. 6+ years of experience in performance tuning and database monitoring utilizing techniques with query analysis, indexes, statistics, execution plans. Prior experience working with large (2tb+) transactional databases and across a large environment with hundreds to thousands of databases in-scope. DESIRED TECHNICAL SKILLS Ability to troubleshoot performance issues with NoSQL databases (Elasticsearch, MongoDB, Cosmos and Couchbase) Accurately recommend configuration changes for optimal performance of NoSQL databases (Elasticsearch, MongoDB, and Cosmos and Couchbase) Experience in the design, testing, implementation, maintenance, and control of the organization's NoSQL databases across multiple platforms, technologies, (for example physical, relational and object oriented) and computing environments. Ability to develop queries to extract information based on compounded search criteria. Strong expertise with relational databases (Microsoft SQL Server, MySQL is a plus) with enhanced troubleshooting and performance tuning skills. Fundamental proficiency in data modeling in practical applications of a moderate nature. Firm understanding of the most prominent Azure database technologies such as Azure SQL Database and Azure SQL Managed Instance. Backup, restore, secure, scale, monitor and tune an Azure SQL Database Experience translating environments into Azure Managed Instance and other Azure technologies will be given a strong preference. Nice to Haves Certifications in Azure/SQL Server/NoSQL Experience with Postgres and MySQL is a big plus but not mandatory. Knowledge of SQL monitoring tools SolarWinds DPA, RedGate etc. Service now and Azure DevOps experience

Key Responsibilities: Design, implement, and maintain database systems using SQL and Azure Synapse Analytics. Monitor database performance, implement changes, and apply new patches and versions when required. Ensure data integrity and security by implementing and managing appropriate access controls and backup/recovery procedures. Collaborate with development teams to design and optimize database queries and structures. Troubleshoot and resolve database issues, ensuring minimal downtime and data loss. Develop and maintain documentation related to database configurations, processes, and service records. Assist in the design and implementation of data warehousing solutions using Azure Synapse. Provide support for data migration and integration projects. Stay updated with the latest industry trends and technologies to ensure our database systems are current and efficient. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Proven experience as a Database Administrator with a focus on SQL and Azure Synapse Analytics. Strong knowledge of database structure systems and data mining. Experience with database management tools and software. Excellent problem-solving skills and ability to work independently. Strong communication skills to collaborate effectively with team members and stakeholders. Familiarity with cloud-based database solutions and services, particularly within the Azure ecosystem. Preferred Skills: Experience with other database technologies such as Oracle, MySQL, or PostgreSQL. Knowledge of data warehousing concepts and ETL processes. Certification in SQL Server or Azure Synapse Analytics is a plus.

Azure ADF, Databricks with Pyspark/ Python Data Engineer with Pyspark, Databricks skillset 4+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations Sound Knowledge on - Azure Data Bricks, Azure Data Lake. Sound knowledge in Data Bricks & Logic Apps Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview. Extensive knowledge on big data concepts like Hive, and spark framework. Should be able to write complex SQL queries. Sound understanding of DWH concepts. Strong hands-on experience on Python or Scala. Hands on experience on Azure Data Factory. Should be able to coordinate independently with business stakeholders and understand the business requirements. Knowledge on DevOps and Agile methodologies-based projects, implement the requirements using ADF/Data Brick Knowledge of version control tools such as Git/Bitbucket. Should have basic understanding of Batch Account configuration, and various control and monitoring options.

Azure ADF, Databricks with Pyspark/ Python Data Engineer with Pyspark, Databricks skillset 4+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations Sound Knowledge on - Azure Data Bricks, Azure Data Lake. Sound knowledge in Data Bricks & Logic Apps Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview. Extensive knowledge on big data concepts like Hive, and spark framework. Should be able to write complex SQL queries. Sound understanding of DWH concepts. Strong hands-on experience on Python or Scala. Hands on experience on Azure Data Factory. Should be able to coordinate independently with business stakeholders and understand the business requirements. Knowledge on DevOps and Agile methodologies-based projects, implement the requirements using ADF/Data Brick Knowledge of version control tools such as Git/Bitbucket. Should have basic understanding of Batch Account configuration, and various control and monitoring options.

Azure ADF, Databricks with Pyspark/ Python Data Engineer with Pyspark, Databricks skillset 4+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations Sound Knowledge on - Azure Data Bricks, Azure Data Lake. Sound knowledge in Data Bricks & Logic Apps Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview. Extensive knowledge on big data concepts like Hive, and spark framework. Should be able to write complex SQL queries. Sound understanding of DWH concepts. Strong hands-on experience on Python or Scala. Hands on experience on Azure Data Factory. Should be able to coordinate independently with business stakeholders and understand the business requirements. Knowledge on DevOps and Agile methodologies-based projects, implement the requirements using ADF/Data Brick Knowledge of version control tools such as Git/Bitbucket. Should have basic understanding of Batch Account configuration, and various control and monitoring options.

Key Responsibilities: Team Leadership: Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct regular performance reviews and set development goals for team members. Organize training sessions to enhance team skills and technical capabilities. Azure Data Platform: Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Stay up-to-date with Azure data technologies and recommend improvements to enhance data processing capabilities. Data Architecture: Collaborate with data architects to design efficient and scalable data architectures. Define data modeling standards and ensure data integrity, security, and governance compliance. Project Management: Work with project managers to define project scope, goals, and deliverables. Develop project timelines, allocate resources, and track progress. Identify and mitigate risks to ensure successful project delivery. Collaboration & Communication: Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver data-driven solutions. Communicate effectively with stakeholders to understand requirements and provide updates. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Team Lead or Manager in data engineering. Extensive experience with Azure data services and cloud technologies. Expertise in Azure Databricks, PySpark, and SQL. Strong understanding of data engineering best practices, data modeling, and ETL processes. Experience with agile development methodologies. Certifications in Azure data services (preferred). Preferred Skills: Experience with big data technologies and data warehousing solutions. Familiarity with industry standards and compliance requirements. Ability to lead and mentor a team.

Key Responsibilities: Team Leadership: Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct regular performance reviews and set development goals for team members. Organize training sessions to enhance team skills and technical capabilities. Azure Data Platform: Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Stay up-to-date with Azure data technologies and recommend improvements to enhance data processing capabilities. Data Architecture: Collaborate with data architects to design efficient and scalable data architectures. Define data modeling standards and ensure data integrity, security, and governance compliance. Project Management: Work with project managers to define project scope, goals, and deliverables. Develop project timelines, allocate resources, and track progress. Identify and mitigate risks to ensure successful project delivery. Collaboration & Communication: Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver data-driven solutions. Communicate effectively with stakeholders to understand requirements and provide updates. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Team Lead or Manager in data engineering. Extensive experience with Azure data services and cloud technologies. Expertise in Azure Databricks, PySpark, and SQL. Strong understanding of data engineering best practices, data modeling, and ETL processes. Experience with agile development methodologies. Certifications in Azure data services (preferred). Preferred Skills: Experience with big data technologies and data warehousing solutions. Familiarity with industry standards and compliance requirements. Ability to lead and mentor a team.

Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have skills :Microsoft Azure Data Services Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and providing solutions to work-related problems. A typical day in this role involves collaborating with team members, analyzing business requirements, and developing and implementing application solutions. You will also actively participate in team discussions and contribute to providing solutions to work-related problems, becoming a subject matter expert in your field. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Collaborate with team members to analyze business requirements. Design and develop applications based on business process and application requirements. Configure applications to ensure smooth functioning and optimal performance. Troubleshoot and debug application issues to ensure proper functionality. Collaborate with cross-functional teams to integrate applications with other systems. Stay updated with the latest industry trends and technologies to enhance application development processes. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft Azure Data Services. Good To Have Skills:Experience with cloud-based application development. Strong understanding of data management and storage concepts in Azure. Experience with Azure SQL Database, Azure Data Lake, and Azure Data Factory. Hands-on experience with Azure Functions and Azure Logic Apps. Knowledge of Azure DevOps for CI/CD pipelines and version control. Familiarity with programming languages such as C# and .NET framework. Solid understanding of software development methodologies and best practices. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft Azure Data Services. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Job Title: SW Engineering Manager II Department/Location: Reports To: Senior SW Engineering Manager Job Purpose/Summary NCR Atleos is seeking a SW Engineering Manager II with Azure SQL experience who will provide an expert level support for highly available SQL Server environments. The ideal candidate will be articulate and approachable and have practical/working knowledge of database environment, and Always On availability groups as methods used to meet business needs. The ideal candidate must also be able to lead and troubleshoot time sensitive production issues in a timely manner. Essential Duties and Responsibilities Experience working in large Azure environments, spanning multiple accounts/subscriptions, availability zones, and regions. Exposure to Azure IaaS & PaaS Services, experience in migration of workloads to cloud and understanding of Azure native services and disk pooling. Experience in managing SQL Server 2008, 2012, 2014 ,2016 and 2019 as well as sun setting older databases/versions. Ensure database uptime, availability, and performance through proactive monitoring and optimization. Manage incident response, troubleshooting, and resolution of database-related issues. Experience in Performance Tuning, Query Optimization, using SQL Server monitoring utilities such as Redgate, IDERA or SolarWinds SentryOne. Oversee the day-to-day support and maintenance of database systems, installation, configuration, and maintenance of SQL Server databases. Manage database upgrades, patches, and migrations as needed. Experience with Always On design, Availability groups, replication, log shipping, mirroring and storage replication technologies. Ensure data security, backup strategies, and compliance with industry standards. Knowledge of SQL Server tools (Profiler, DTA, SSMS, SAC, SSCM, PerfMon, DMVs, system procs). Work with developers, business analysts, and system administrators to support application development and integration. Independently analyse, solve, and correct issues in real time, providing problem resolution end-to-end. Experience with designing DR plans while satisfying SLA requirements and conducting Disaster recovery tests. Designing/Recommending database alerts for monitoring database availability and performance. Ability to work with internal and external auditors on PCI compliance audits. Lead and mentor a team of DBAs and database developers. Refine and automate regular processes, track issues, and document changes. Maintain detailed documentation of database configurations, policies, and procedures. Highly self-motivated and excellent time management skills. Strong interpersonal and communication skills. Core Competencies and Skills Excellent planning, organizational, innovation and initiative skills. Ability to work independently as well as with a team of onshore and offshore resources. Team player and acts both as a player and as mentor. Superior knowledge in administering MS SQL Server. Education Masters degree in computer science preferred, a bachelors degree in computer science or equivalent degree/experience must. Experience Minimum 10+ years of experience as MS SQL database administrator with at least 5 years in leadership role. Hands-on experience with MS SQL Server 2008 R2, 2012, 2014, 2016 and 2019 required. Experience with Azure SQL in a multi-region configuration Expertise Microsoft SQL Server on VM, Azure SQL Managed Instance, Azure SQL. ITIL certification or experience with IT Service Management (ITSM) is a plus. Success criteria and performance measures Demonstrates collaboration with multiple teams for successful solutions. Strong problem-solving and analytical skills. Adheres to standards and guidelines. Continually monitors creative product to ensure it conforms to the existing environments. Ability to manage multiple projects and priorities in a fast-paced environment. Flexible work hours and provide 24x7 support for critical production systems.

Role Responsibilities Design, develop, and maintain the organization's business intelligence and reporting dashboards. Design, develop, and maintain data models and feeds for report development. Prepare insights based on data and reporting solutions. Collaborate with business stakeholders to understand reporting and analysis needs and translate them into technical requirements. Ensure that data is accurate and easily accessible for reporting and analysis. Develop and maintain persona-based dashboards, management reports and executive views to provide business insights. Experienced in Power BI to understand business needs and deliver technical solutions. Follow, learn, and share best practices for Power BI development. Ensure compliance with security and data privacy policies and regulations. Manage and prioritize workload and identify opportunities to streamline processes and improve efficiency. Keep up to date with industry trends and emerging technologies and evaluate their potential impact on business intelligence and reporting. Qualifications & Skills Bachelor's degree in Computer Science, Information Systems, or a related field Master of Business Administration preferred. At least 4 years of experience in business intelligence and reporting, with a focus on data visualization, dashboards, and reporting. Demonstrated experience with Microsoft Power BI, with proficiency in complex DAX, Power Query, tabular data modeling, visualizations, RLS, composite modeling, Power BI Service, Licensing, etc. Strong understanding of database systems, analytical processing, data modeling and ETL/DWH framework. Worked in advanced SQL and database technologies such as Microsoft SQL Server, Azure SQL Server, Oracle, and MySQL, and Amazon Redshift SQL. Experience with cloud-based data storage and processing technologies such as AWS or Azure Data Factory is a plus. Experience in end-to-end implementation projects as well as maintenance & support projects is a plus. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams. Experienced across requirement analysis, solutioning, designing, modeling, implementation, testing, end-user communication. Work in diverse environments - geographical, cultural, and business is preferred. Ability to adapt to changing reporting requirements, priorities, and project timelines. Experience in Banking or Financial Services industry is a plus. Experience in Agile methodologies is preferred. Experience in Microsoft Excel, SharePoint Online, PowerAutomate, Draw.io, Power Apps, Administration, Governance, REST API, PowerShell, JavaScript, DAX Studio, Tabular Editor, Python, R programming, is a plus. Certification in Microsoft Power BI or SQL is a plus. Must Have: SQL (Minimum 3 4 years of hands-on experience), DAX, Power BI, Power Query, M Query. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata.

As a Dynamic CRM Architect, you will play a pivotal role in the configuration, customization, and management of the Dynamics 365 solutions. Your responsibilities will span across development, troubleshooting, and implementation, ensuring seamless CRM operations. Key Responsibilities: - Configure and customize Dynamics 36, including workflows,Plugins, HTML, JavaScript, and unified Interface. - Utilize Microsoft Power Platform and Microsoft Power Automate to enhance system functionality. -- Work with Web technologies and languages such as ASP.net, HTML, Javascript, XML, JSON,.Net Core,ensuring multi- threaded application development. - Manage cloud/ on prem databases like Azure SQL and SQL Server, integrate using tools like Kingsway Soft. - Document software components like technical and functional specifications. - Provide troubleshooting and technical support across environments. - Design and integrate Microsoft Power Portals, including UI development and liquid scripting. - Utilize code management tools like Git,TFS, JIRA, and Confluence for project tracking. - Employ design tools such as ER modeling,UML diagrams and flowcharts. - Handle Dynamics 365 CRM development, code merging, deployments, and CI/CD pipelines. Required Skills: - Proficiency in Azure Cloud, including authentication and resource management. - Experience with QAD or SAP ERP integrations. - Expertise in Data Migrations, customizations, workflows, and plugins. - Strong understanding of Power Apps, both Cloud and on-premise databases, and Virtual Entities. - Knowledge on exception handling, timeouts, performance tuning, and role- based feature implementation. - Ability to manage managed services and unmanaged solutions. - Extensive experience in Sales and services within the CRM sales lifecycle. -End- to- end CRM development and implementation experience, including deployment across various environments.