10 Sql Db Jobs

Azure Full Stack Technical Lead Required Technical Skill Set - Python, Django, Azure Data Factory Desired Experience Range - 7 10 years Location of Requirement - Mumbai Must-Have** (Ideally should not be more than 3-5) Python Backend development Expertise in Python, REST API development (Flask), NoSQL DB, Experience in Django framework. Azure Cloud Engineer who can handle E2E backend responsibility. Azure App Services Data Factory Cosmos DB Blob Storage Good-to-Have Azure Certification SN Responsibility of / Expectations from the Role 1 Understanding the requirements. 2 Design and Development of the requirements. 3 Implementation of Application developer using Python. 4 Defining and executing unit and functional tests for the code. 5 Write automated test cases for the code. 6 Customer Product Documentation. 7 Participation in trouble report reviews and analysis. 8 System Integration Testing.

Role & responsibilities 57 years of experience in software/data engineering Strong knowledge in C#, .NET, OOP principles , and SQL Hands-on experience with Azure services (Function Apps, Service Bus, Data Factory) Exposure to CI/CD pipelines and DevOps practices Preferred candidate profile Software engineering principles, design patterns, and best practices Data engineering best practices Handling large datasets, data exploration, and analytics Foundational knowledge of investment data (e.g., transactions, positions, instruments) Exposure to financial markets/asset management desirable

Role AEM Full-Stack Developer Experience Range 4 - 8 years overall experience Minimum 3 Years of AEM development experience Requirements Technical skills Significant exposure of working with ClientLibs, Java Content Repository (API), Sling Web Framework and Apache Felix OSGi framework. Experience in AEM 6.4 and AEM 6.5 as cloud service. Develop and oversee OSGI bundles, AEM templates, HTL/Sightly components and services, localization features, AEM Mobile and Forms applications and the AEM DAM. Expertise in Hands-on implementation of Java technologies. Significant hands-on experience with AEM and very strong concepts of OSGi, Apache Sling, HTL and Dispatcher. Expertise in AEM capabilities including multi-site manager and Blueprinting. Experience in AEM Sites, AEM Assets, Brand Portal, and Dynamic Media. Strong, conceptual knowledge of OSGi, Apache Sightly, and Adobe Dispatcher. Have proper knowledge of AWS like Lambda, DynamoDB, CloudFront, Cognito, S3 Bucket. Good Knowledge in Angular for creating and managing different applications. Knowledge of version control tools, especially Gitlab. Familiarity with building tools, including Maven. Familiarity with front-end technologies, HTML, CSS, angular and JavaScript experience is plus, should have the aptitude to learn front-end development. Responsibilities Collaborate with product managers, designers, and developers to ensure effective communication and solution alignment. Participate in client meetings and interactions to explain the solution approach. Ability to troubleshoot, debug and provide needed fix to production issues. Development of different applications and components in Angular and AEM. Ensure implementation of coding best practices to optimize page load, performance, security and scalability of the entire application.

5-8 years of experience in IT Industry 3+ years of experience with Azure Data Engineering Stack (Event Hub, Data Factory, Cosmos DB, Synapse, SQL DB, Databricks, Data Explorer) 3+ years of experience with Python / Pyspark, Spark, Scala, Hive, Impala Excellent knowledge of SQL and coding skills Good understanding of other Azure services like Azure Data Lake Analytics, U-SQL, Azure SQL DW Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts Experience with scripting languages such as shell. Excellent analytical and organization skills. Effective working in a team as well as working independently. Experience of working in Agile delivery Knowledge of software development best practices. Strong written and verbal communication skills. Azure Data Engineer certification is added advantage Required Skills Azure, Data Engineering, Hub, Data Factory, Cosmos DB, Synapse, SQL DB, Databricks, Data Explorer, Python. Pyspark, Spark, Scala, Hive, Impala, SQL, Azure Data Lake Analytics, U-SQL, Azure SQL DW, Architecture, Software Development, Senior Data Engineer Azure

Job Description: Data Engineer Role Overview: We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have strong experience in Java, SQL databases, and Snowflake while also possessing knowledge of Data Lake, AWS Glue, and other cloud-based data processing technologies . This role involves designing, developing, and optimizing data pipelines to ensure efficient data flow and accessibility. Responsibilities: Design, build, and maintain scalable data pipelines for processing large datasets. Develop and optimize SQL queries for efficient data retrieval and transformation. Work with Snowflake to implement data warehousing solutions, ensuring data integrity and performance. Implement Data Lake architectures for structured and unstructured data storage. Leverage AWS Glue for ETL workflows, data transformation, and automation. Collaborate with data analysts, engineers, and business stakeholders to define and optimize data models. Ensure data security, compliance, and governance best practices in cloud-based environments. Monitor data pipeline performance and troubleshoot issues to maintain system reliability. Stay up to date with industry trends and best practices in data engineering and cloud technologies. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. 3 -16 years of experience in data engineering, data warehousing, or related fields. Strong experience in Java programming for data processing and pipeline development. Proficiency in SQL databases (MySQL, PostgreSQL, SQL Server, or similar). Hands-on experience with Snowflake for data warehousing and analytics. Knowledge of Data Lake architectures for managing large-scale data storage. Experience with AWS Glue or similar cloud-based ETL tools. Familiarity with big data technologies (Spark, Hadoop, or similar) is a plus. Strong analytical and problem-solving skills with a keen eye for optimization. Excellent communication and collaboration skills to work with cross-functional teams. Preferred Skills (Nice to Have): Experience with Python or Scala for data processing. Familiarity with Apache Airflow or other workflow orchestration tools. Understanding of data governance, security, and compliance best practices . Knowledge of streaming technologies (Kafka, Kinesis) for real-time data processing. Must Have: Immediate joiners preferred." Candidates from Bangalore are preferred

Roles & Responsibilities: Diagnose and troubleshoot complex technical issues across a hybrid infrastructure *Upgrade and optimize network infrastructure for performance and security *Deploy and maintain VMWare and Dell Servers, along with firewalls (SonicWALL) *Monitor and enhance server, software, and hardware performance *Ensure smooth application and SQL DB deployments (manual, script-based, and CI/CD) *Maintain and update technical documentation to streamline operations Must-Have Skills & Experience: - Strong AWS expertise and team leadership experience - Deep understanding of LAN/WAN and Hybrid networks - Hands-on experience with Active Directory, DNS, SQL, IIS, VMware, and AWS - Experience in server migrations (File, AD, and Application servers) - Solid knowledge of AWS & VMWare ESXi networks (migration, upgrades, and troubleshooting) - Strong grasp of security techniques to ensure compliance and protection - Excellent problem-solving and communication skills - Proven experience in leading teams and managing priorities effectively

Job Description Application Support Engineer (US Shift) About Stavtar Stavtar(https://stavtar.com/) is a software and technology services company, headquartered in New York and with offices in Dallas, London, Bengaluru and Mumbai. Stavtar addresses complex challenges in Hedge Funds, Private Equity, and Investment Banking industries. Our flagship product, StavPay, is widely adopted by Alternative Asset Managers managing over $1.2 trillion in assets About This Role We are seeking a detail-oriented Application Support Engineer to join our dynamic team at Mumbai/Bangalore. Key Responsibilities Resolving technical issues and providing timely support and assistance to client facing employees and clients Thorough knowledge of incident management processes and strong communication skills to provide timely status updates on issue resolution Perform root cause analysis to identify the reasons for the underlying issue Monitor all alerts related to applications and provide proactive services Coordinate with the design and development teams to resolve complex application and system issues Document Troubleshooting Guides and FAQs Recommend ways to optimize business performance by presenting solutions to existing challenges Essential Qualifications 5-8 years of experience in .Net Core, Strong C# and SQL DB skills. Sound knowledge of Excel and data processing/analysis using excel Excellent problem-solving skills DevOps: Azure DevOps Source Control : GIT Excellent written and oral communication skills Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Desirable Qualifications Good to have: Knowledge of Angular. Knowledge/Experience on Capital Market domain Work Timings : Full Overlap with US East coast ( 8 AM to 4 PM EST) i.e. 5:30 PM to 1:30 AM Location : Goregaon(W), Mumbai/Bangalore Work Mode : Hybrid

Role & responsibilities Proven experience as a report developer, software engineer, or data engineer with a focus on SQL server reporting services (SSRS) Expert in database querying capability to build and track complex KPIs on SQL Working experience on SQL DB is a must Strong problem-solving skills and the ability to learn on own. Good to have: Familiarity with data visualization tools (e.g SAP BO, Power BI or similar). Knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and their data services is an add on Knowledge on Databricks, Python scripting, grafana Key Competencies: Collegial Candor . Build trust, further collaboration and create effective relationships. Entrepreneurial Passion . Challenge status quo for the good of the company. Willing to make investments in new ideas. Solicit differing points of view. Building Strategic Working Relationships . Developing and using collaborative relationships to facilitate the accomplishment of work goals. Consultative in approach. Gaining Commitment . Using appropriate interpersonal styles and techniques to gain acceptance of ideas or plans; modifying ones own behavior to accommodate tasks, situations, and individuals involved. Customer Focus . Making customers and their needs a primary focus of ones actions; developing and sustaining productive customer relationships.

3+ years of development expertise in C Net technology including MVC & Web API Expertise in DB concepts & SQL DB Cloud SQL server bility to understand Design documents UML Design Strong Experience Azure technology Azure Storage Azure security Azure Function, Azure Data factory Azure App Insights and other Azure services Experience in React technologies will be an added advantage. Basic knowledge in Design patterns Expertise Knowledge in Agile methodologies Expertise on Source code control usage or management DevOps Good in resolving problems and efficiently learn advance technologies Strong communication skills & Good Team player

Must Have Java 8/11 Concepts Collections Types, Usage, Sorting Multi-threading / Parallelism Considerations, Thread Pool, Completable Future, Executor Service Exception Handling Best practices, resource cleanup Design Patterns Singleton, Builder, Factory, Observer Data Structures Sorting/ Search Algorithm Space and Time Complexity Spring Boot, Spring JPA SQL or Postgres REST API API First approach, Methods, Standards, Rest Controller Securing REST API - Strong understanding on Spring Security, JWT Microservices Patterns, Distributed Systems, Splunk CRUD operations, Performance tuning Unit, Functional & Integration testing Problem Solving / Analytical / Pseudo code logic Troubleshooting Skills Elimination method, approaches to pinpoint issue, tools used, Log levels, best practices Proactive, Self-starter, Collaborative, strong communication skills -- both verbal and written