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Technical Trainee

JOB DESCRIPTION : Top Skills : - AngularJS - Java - SpringBoot Knowledge and Skills Required : - This is an individual contributor role, and you are expected to code for at least 75% of the time. - Solid understanding of the modern application patterns & deployment methods. - Should have experience on Java, Angular, Spring (ORM, Security, MVC, AOP). - Should have experience on Azure services such as service bus and event grid. - Should have experience on Experience on data intensive applications built with SQL/NoSQL DBs. - Experience on building microservices based application integrations using REST and API gateways. - Should have experience on Relational Database (SQL) and NoSQL like Elasticsearch. - Should have knowledge of Continuous integration and continuous deployment (CD/CI) using Git and Jenkins or Azure DevOps. - Delivery using modern methodologies especially SAFe Agile, Iterative - Excellent analytical skills applied in a practical environment. Well organized, disciplined approach to work with a high level of attention to detail - Strong work ethics with high level of self-motivation - Experience in working in large cross functional projects and product development. Strong ability to navigate across teams to resolve challenges.

Bangalore

Java Full Stack Developer - Spring/AngularJS (4-8 yrs)

Job Summary : As a Senior Data Engineer, you will support the Global BI team for Isolation Valves in migrating to Microsoft Fabric. Your role focuses on data gathering, modeling, integration, and database design to enable efficient data management. You will develop and optimize scalable data models to support analytics and reporting needs. Leverage Microsoft Fabric and Azure technologies for high-performance data processing. In this Role, Your Responsibilities Will Be : - Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand their data requirements and deliver effective solutions. - Leverage Fabric Lakehouse for data storage, governance, and processing to support Power BI and automation initiatives. - Expertise in data modeling, with a strong focus on data warehouse and lakehouse design. - Design and implement data models, warehouses, and databases using MS Fabric, Azure Synapse Analytics, Azure Data Lake Storage, and other Azure services. - Develop ETL (Extract, Transform, Load) processes using SQL Server Integration Services (SSIS), Azure Synapse Pipelines, or similar tools to prepare data for analysis and reporting. - Implement data quality checks and governance practices to ensure accuracy, consistency, and security of data assets. - Monitor and optimize data pipelines and workflows for performance, scalability, and cost efficiency, utilizing Microsoft Fabric for real-time analytics and AI-powered workloads. - Strong proficiency in Business Intelligence (BI) tools such as Power BI, Tableau, and other analytics platforms. - Experience with data integration and ETL tools like Azure Data Factory. - Proven expertise in Microsoft Fabric or similar data platforms. - In-depth knowledge of the Azure Cloud Platform, particularly in data warehousing and storage solutions. - Strong problem-solving skills with a track record of resolving complex technical challenges. - Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. - Ability to work independently and collaboratively within a team environment. - Microsoft certifications in data-related fields are preferred. - DP-700 (Microsoft Certified : Fabric Data Engineer Associate) is a plus. Who You Are : You show a tremendous amount of initiative in tough situations; are exceptional at spotting and seizing opportunities. You observe situational and group dynamics and select best-fit approach. You make implementation plans that allocate resources precisely. You pursue everything with energy, drive, and the need to finish. For This Role, You Will Need : - Experience : 5+ years in Data Warehousing with on-premises or cloud technologies. - Analytical & Problem-Solving Skills : Strong analytical abilities with a proven track record of resolving complex data challenges. - Communication Skills : Ability to effectively engage with internal customers across various functional areas. - Database & SQL Expertise : Proficient in database management, SQL query optimization, and data mapping. - Excel Proficiency : Strong knowledge of Excel, including formulas, filters, macros, pivots, and related operations. - MS Fabric Expertise : Extensive experience with Fabric components, including Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Power BI Integration, and Semantic Models. - Programming Skills : Proficiency in Python and SQL/Advanced SQL for data transformations/Debugging. - Flexibility : Willingness to work flexible hours based on project requirements. - Technical Documentation : Strong documentation skills for maintaining clear and structured records. - Language Proficiency : Fluent in English. - SQL & Data Modeling : Advanced SQL skills, including experience with complex queries, data modeling, and performance tuning. - Medallion Architecture : Hands-on experience implementing Medallion Architecture for data processing. - Database Experience : Working knowledge of Oracle, SAP, or other relational databases. - Manufacturing Industry Experience : Prior experience in a manufacturing environment is strongly preferred. - Learning Agility : Ability to quickly learn new business areas, software, and emerging technologies. - Leadership & Time Management : Strong leadership and organizational skills, with the ability to prioritize, multitask, and meet deadlines. - Confidentiality : Ability to handle sensitive and confidential information with discretion. - Project Management : Capable of managing both short- and long-term projects effectively. - Cross-Functional Collaboration : Ability to work across various organizational levels and relationships. - Strategic & Tactical Thinking : Ability to balance strategic insights with hands-on execution. - ERP Systems : Experience with Oracle, SAP, or other ERP systems is a plus. - Travel Requirements : Willing to travel up to 20% as needed. Preferred Qualifications that Set You Apart : - Education : BA/BS/B.E./B.Tech in Business, Information Systems, Technology, or a related field. - Technical Background : Bachelor's degree or equivalent in Science, with a focus on MIS, Computer Science, Engineering, or a related discipline. - Communication Skills : Strong interpersonal skills in English (spoken and written) to collaborate effectively with overseas teams. - Database & SQL Expertise : Proficiency in Oracle PL/SQL. - Azure Experience : Hands-on experience with Azure services, including Azure Synapse Analytics and Azure Data Lake. - DevOps & Agile : Practical experience with Azure DevOps, along with knowledge of Agile and Scrum methodologies. - Certifications : Agile certification is preferred.

Remote

Azure Data Engineer (5-10 yrs)

Required Skills : Python, spark/pyspark, Hive, Databricks, SQL ,Airflow/ Github. Data Engineer We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data pipelines, ETL processes, and data infrastructure. The ideal candidate should have a strong background in Python, Spark, SQL, and Databricks. Responsibilities : - Design, develop, and maintain data pipelines to extract, transform, and load data from various sources into our data lake or data warehouse. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality. - Optimize and tune data processing workflows for performance and scalability. - Implement data governance and security best practices. - Troubleshoot and resolve data-related issues. - Monitor and maintain data infrastructure, ensuring high availability and reliability. - Stay up-to-date with industry trends and emerging technologies in data engineering. Qualifications : - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience as a Data Engineer. - Strong proficiency in Python for data processing and ETL. - Experience with Apache Spark for distributed data processing. - Proficiency in SQL for querying and manipulating data. - Hands-on experience with Databricks or similar cloud-based data platforms. - Familiarity with data modeling, data warehousing, and data lake concepts. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills.

Hyderabad

Senior Data Engineer - PySpark/Python (5-10 yrs)

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