182 Azure Synapse Jobs - Page 5

We Are Hiring! Sr. Azure Data Engineer at GSPANN Technologies - 5 + years of experience . Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. 5 + years of experience . Location: Pune, Hyderabad, Gurgaon, Noida Key Skills & Experience: Azure Synapse Analytics Azure Data Factory (ADF) PySpark Databricks Expertise in developing and maintaining Stored Procedures Proven experience in designing and implementing scalable data solutions in Azure Preferred Qualifications: Minimum 6 years of hands-on experience working with Azure Data Services Strong analytical and problem-solving skills Excellent communication skills, both verbal and written Ability to collaborate effectively in a fast-paced, cross-functional environment Immediate Joiners Only: We are looking for professionals who can join immediately and contribute to dynamic projects. Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. Join GSPANN Technologies and accelerate your career with exciting opportunities in data engineering!

Experience Required: 8+Years Mode of work: Remote Skills Required: Azure DataBricks, Azure Data Factory, Pyspark, Python, SQL, Spark Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within June) Responsibilities Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights. Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. Provide technical guidance and expertise to junior data engineers and developers . Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering. Contribute to the continuous improvement of data engineering processes, tools, and best practices. Requirements: Bachelors or masters degree in computer science, engineering, or a related field. 10+ years of experience as a Data Engineer with a focus on building cloud-based data solutions. Strong experience with cloud platforms such as Azure or AWS. Proficiency in Apache Spark and Databricks for large-scale data processing and analytics. Experience in designing and implementing data processing pipelines using Spark and Databricks. Strong knowledge of SQL and experience with relational and NoSQL databases. Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services. Good understanding of data modelling and schema design principles. Experience with data governance and compliance frameworks . Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills to work effectively in a cross-functional team. Interested candidate can share your resume to OR you can refer your friend to Pavithra.tr@enabledata.com for the quick response.

In this Role, Your Responsibilities Will Be: Develop, test, and maintain high-quality software products by using cutting-edge technologies and best programming practices. Design, develop, and maintain scalable and high-performance data pipelines using Azure Data Factory, Azure Synapse Analytics, and other Azure services. Develop and maintain ETL/ELT processes to ensure the quality, consistency, and accuracy of data. Implement data integration solutions across on-premises, hybrid, and cloud environments. Ensure the security, availability, and performance of enterprise data platforms. Work with relational (SQL Server, Azure SQL) and non-relational databases (Azure Cosmos DB, etc.). Build, test, and deploy data solutions using Azure DevOps, version control, and CI/CD pipelines. Develop and enforce data governance policies and practices to ensure data integrity and security. Perform code reviews and ensure the quality of deliverables from the other developers are as per the standards. Collaborate with multi-functional teams, including designers, developers, and quality assurance engineers to build, refine, and enhance software products. Optimize and troubleshoot large datasets using Python and Azure cloud-native technologies. Create and maintain comprehensive technical documentation.

: Job TitleAFC Transaction Monitoring - Senior Engineer, VP LocationPune, India Role Description You will be joining the Anti-Financial Crime (AFC) Technology team and will work as part of a multi-skilled agile squad, specializing in designing, developing, and testing engineering solutions, as well as troubleshooting and resolving technical issues to enable the Transaction Monitoring (TM) systems to identify Money Laundering or Terrorism Financing. You will have the opportunity to work on challenging problems, with large complex datasets and play a crucial role in managing and optimizing the data flows within Transaction Monitoring. You will have the opportunity to work across Cloud and BigData technologies, optimizing the performance of existing data pipelines as well as designing and creating new ETL Frameworks and solutions. You will have the opportunity to work on challenging problems, building high-performance systems to process large volumes of data, using the latest technologies. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As a Vice President, your role will include management and leadership responsibilities, such as: Leading by example, by creating efficient ETL workflows to extract data from multiple sources, transform it according to business requirements, and load it into the TM systems. Implementing data validation and cleansing techniques to maintain high data quality and detective controls to ensure the integrity and completeness of data being prepared through our Data Pipelines. Work closely with other developers and architects to design and implement solutions that meet business needs whilst ensuring that solutions are scalable, supportable and sustainable. Ensuring that all engineering work complies with industry and DB standards, regulations, and best practices Your skills and experience Good analytical problem-solving capabilities with excellent communication skills written and oral enabling authoring of documents that will support a technical team in performing development work. Experience in Google Cloud Platform is preferred but other the cloud solutions such as AWS would be considered 5+ years experience in Oracle, Control M, Linux and Agile methodology and prior experience of working in an environment using internally engineered components (database, operating system, etc.) 5+ years experience in Hadoop, Hive, Oracle, Control M, Java development is required whilst experience in OpenShift, PySpark is preferred Strong understanding of designing and delivering complex ETL pipelines in a regulatory space How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Holding strong experience in Azure synapsis with at least 5 years which includes 1. Development, monitoring and troubleshooting bug fixes for synapse pipelines. 2. Able to handle huge load of data with different ERP source systems and automation techniques. 3. Strong expertise in migration of On-Prem data to cloud hosted Azure SQL Database. 4. Good expertise in cost optimization and resource utilisation technique in synapse workspace. Looking for Immediate Joinees

Proficiency in SQL and other data query languages Experience with Azure data storage solutions such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage Knowledge of data integration tools such as Azure Data Factory and Azure Databricks Understanding of data modeling and schema design principles Ability to work with large datasets and perform data analysis

Job Responsibilities : Design and Develop Dashboards: Create visually appealing and interactive dashboards that help users quickly grasp critical insights from data. Data Integration : Connect Tableau to various data sources (Google Big Query/Azure Synapse, etc.), ensuring data accuracy and integrity. Performance Optimization : Improve load times and responsiveness of Tableau dashboards and reports. Data Analysis: Analyse and interpret data to create meaningful visualizations. Collaboration: Work closely with stakeholders to understand and translate business requirements into functional specifications. Skills: Proficiency in Tableau : Strong understanding of Tableau Desktop and Tableau Server and respective functionalities. Minimum 5 years of experience in Tableau. JavaScript: Must have experience in customising (handling of events, filters, etc.) the Tableau dashboards using Tableau Embedding API in JavaScript. Technical Skills : Knowledge of SQL and should have experience connecting to a Data warehouse. Cloud: Experience working in a cloud-based environment. Communication: Excellent communication skills to effectively collaborate with stakeholders and present data insights. Education: Bachelors degree in computer science, Information Systems, or a related field (or equivalent experience).

Skill & Experience Bachelors degree in computer science, Information Technology, Statistics, or related field. Proven experience working as a Power BI Developer or Consultant, with strong proficiency in Power BI Desktop and Power BI Service. Solid understanding of data analysis concepts and techniques, with experience in data modeling and ETL processes. Proficiency in DAX (Data Analysis Expressions) and M (Power Query Formula Language) for advanced data manipulation and calculations. Experience with SQL and relational databases, as well as cloud-based data platforms such as Azure SQL Database and Azure Synapse Analytics. Strong analytical and problem-solving skills, with the ability to translate complex requirements into actionable insights. Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non- technical stakeholders. Familiarity with plug-ins/connectors with Jira Power BI certification (e.g., Microsoft Certified: Data Analyst Associate) is a plus.

Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or related field. 7–9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark. Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse. Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices. Solid grasp of data governance, metadata tagging, and role-based access control. Proven ability to mentor and grow engineers in a matrixed or global environment. Strong verbal and written communication skills, with the ability to operate cross-functionally. Certifications in Azure, Databricks, or Snowflake are a plus. Preferred Skills: Strong knowledge of data engineering concepts (data pipeline creation, data warehousing, data marts/cubes, data reconciliation and audit, data management). Working knowledge of DevOps processes (CI/CD), Git/Jenkins version control tools, Master Data Management (MDM), and data quality tools. Strong experience in ETL/ELT development, QA, and operations/support processes (RCA of production issues, code/data fix strategy, monitoring and maintenance). Hands-on experience with databases like Azure SQL DB, Snowflake, MySQL, Cosmos DB, Blob Storage, Python/Unix Shell scripting. ADF, Databricks, and Azure certifications are a plus. Technologies We Use: Databricks, Azure SQL DW/Synapse, Snowflake, Azure Tabular, Azure Data Factory, Azure Functions, Azure Containers, Docker, DevOps, Python, PySpark, scripting (PowerShell, Bash), Git, Terraform, Power BI Responsibilities: Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms. Lead the technical execution of non-domain-specific initiatives (e.g., reusable dimensions, TLOG standardization, enablement pipelines). Architect data models and reusable layers consumed by multiple downstream pods. Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks. Mentor and coach team members. Partner with product and platform leaders to ensure engineering consistency and delivery excellence. Act as an L3 escalation point for operational data issues impacting foundational pipelines. Own engineering best practices, sprint planning, and quality across the Enablement pod. Contribute to platform discussions and architectural decisions across regions.

5+yrs of experience in Data Engineering, Expertise in the Azure platform including Azure Data Factory, Azure SQL Database, Azure Synapse and Azure Fabric, Extensive knowledge of data modeling, ETL processes and data warehouse design principles.

Hiring for Microsoft Azure Developer with experience range 2 years & above Mandatory Skills: Azure stack, Azure Data Factory, Azure Databricks, Azure Synapse, Azure Developer, Azure Education: BE/B.Tech/BCA/MCA/M.Tech/ME/BSC/MSC Location: PAN INDIA

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Develop and maintain data pipelines tailored to Azure environments, ensuring security and compliance with client data standards. Collaborate with cross-functional teams to gather data requirements, translate them into technical specifications, and develop data models. Leverage Python libraries for data handling, enhancing processing efficiency and robustness. Ensure SQL workflows meet client performance standards and handle large data volumes effectively. Build and maintain reliable ETL pipelines, supporting full and incremental loads and ensuring data integrity and scalability in ETL processes. Implement CI/CD pipelines for automated deployment and testing of data solutions. Optimize and tune data workflows and processes to ensure high performance and reliability. Monitor, troubleshoot, and optimize data processes for performance and reliability. Document data infrastructure, workflows, and maintain industry knowledge in data engineering and cloud tech. Your Profile Bachelors degree in computer science, Information Systems, or a related field 4+ years of data engineering experience with a strong focus on Azure data services for client-centric solutions. Extensive expertise in Azure Synapse, Data Lake Storage, Data Factory, Databricks, and Blob Storage, ensuring secure, compliant data handling for clients. Good interpersonal communication skills Skilled in designing and maintaining scalable data pipelines tailored to client needs in Azure environments. Proficient in SQL and PL/SQL for complex data processing and client-specific analytics. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Warm Greetings from Dataceria Software Solutions Pvt Ltd We are Looking For: Senior Azure Data Engineer Domain : BFSI Immediate joiners Send your resumes to carrers@dataceria.com ------------------------------------------------------------------------------------------------------------------------------------------------- As a Senior Azure Data Engineer , you will play a pivotal role in bridging data engineering with front-end development. You willll work closely with Data Scientists and UI Developers (React.js) to design, build, and secure data services that power a next-generation platform. This is a hands-on, collaborative role requiring deep experience across the Azure data ecosystem, API development, and modern DevOps practices. Your Responsibilities Will Include: Building and maintaining scalable Azure data pipelines ( ADF, Synapse, Databricks, DBT) to serve dynamic frontend interfaces. Creating API access layers to expose data to front-end applications and external services. Collaborating with the Data Science team to operationalize models and insights. Working directly with React JS developers to support UI data integration. Ensuring data security , integrity , and monitoring across systems. Implementing and maintaining CI/CD pipelines for seamless deployment. Automating and managing cloud infrastructure using Terraform, Kubernetes, and Azure App Services . Supporting data migration initiatives from legacy infrastructure to modern platforms like Data Mesh Refactoring legacy pipelines with code reuse, version control, and infrastructure-as-code best practices. Analyzing, mapping, and documenting financial data models across various systems. What Were Looking For: 8+ years of experience in data engineering, with a strong focus on the Azure ecosystem (ADF, Synapse, Databricks, App Services). Proven ability to develop and host secure, scalable REST APIs . Experience supporting cross-functional teams, especially front-end/UI and data science groups is a plus. Hands-on experience with Terraform, Kubernetes (Azure EKS), CI/CD, and cloud automation. Strong expertise in ETL/ELT design , performance tuning, and pipeline monitoring . Solid command of Python, SQL , and optionally Scala, Java, or PowerShell. Knowledge of data security practices, governance, and compliance (e.g., GDPR) . Familiarity with big data tools (e.g., Spark, Kafka ), version control (Git), and testing frameworks for data pipelines. Excellent communication skills and the ability to explain technical concepts to diverse stakeholders. Role & responsibilities ---------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Pune (hybrid) , Open Positions: Senior Azure Data Engineer, If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com

Hiring Azure Synapse Development Monitoring Troubleshooting Migration of On-Prem data to cloud hosted Azure SQL Database. cost optimization and resource utilization technique in synapse workspace

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.

We are looking for an experienced Azure Data Engineer with 2+ years of hands-on experience in Azure Data Lake and Azure Data Factory. The ideal candidate will have a strong background in connecting data sources to the Data Lake, writing PiSpark SQL codes, and building SSIS packages. Additionally, experience in data architecture, data modeling, and creating visualizations is essential. Key Responsibilities : Work with Azure Data Lake and Azure Data Factory to design, implement, and manage data pipelines. Connect various data sources (applications, databases, etc.) to the Azure Data Lake for storage and processing. Write PiSpark SQL codes and SSIS packages for data retrieval and transformation from different data sources. Design and develop efficient Data Architecture and Data Modeling solutions to support business requirements. Create data visualizations to communicate insights to stakeholders and decision-makers. Optimize data workflows and pipelines for better performance and scalability. Collaborate with cross-functional teams to ensure seamless data integration and delivery. Ensure data integrity, security, and compliance with best practices. Skills and Qualifications : 2+ years of experience working with Azure Data Lake, Azure Data Factory, and related Azure services. Proficiency in writing PiSpark SQL codes for data extraction and transformation. Experience in developing SSIS packages for data integration and automation. Strong understanding of Data Architecture and Data Modeling concepts. Experience in creating effective and insightful data visualizations using tools like Power BI or similar. Familiarity with cloud-based storage and computing concepts and best practices. Strong problem-solving skills with an ability to troubleshoot and optimize data workflows. Ability to collaborate effectively in a team environment and communicate with stakeholders. Preferred Qualifications : Certifications in Azure (e.g., Azure Data Engineer or similar) would be a plus. Experience with other Azure tools like Azure Synapse, Databricks, etc.

About the role We are seeking a Sr. Practice Manager with Insight , you will be involved in different phases related to Software Development Lifecycle including Analysis, Design, Development and Deployment. We will count on you to be proficient in Software Design and Development, data modelling, data processing and data visualization. Along the way, you will get to: Help customers leverage existing data resources, implement new technologies and tooling to enable data science and data analytics Track the performance of our resources and related capabilities Experience mentoring and managing other data engineers and ensuring data engineering best practices are being followed. Constantly evolve and scale our capabilities along with the growth of the business and needs of our customers Be Ambitious : This opportunity is not just about what you do today but also about where you can go tomorrow. As a Practice Manager, you are positioned for swift advancement within our organization through a structured career path. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. What were looking for Sr. Practice Manager with: Total of 14+ yrs of relevant experience, atleast 5-6 years in people management, managing 20+ team. Minimum 12 years of experience in Data technology. Experience in Data Warehouse and excellent command in SQL, data modeling and ETL development. Hands-on experience in SQL Server, Microsoft Azure (Data Factory, Data Lake, Data Bricks) Experience in MSBI (SSRS, SSIS, SSAS), writing queries and stored procedures. (Good to have) Experienced using Power BI, MDX, DAX, MDS, DQS. (Good to have) Experience developing design related to Predictive Analytics model Ability to handle performance improvement tasks & data archiving. Proficient in relevant provisioning of Azure resources, forecasting hardware usage, and managing to a budget.

Azure Data Engineer with QA Salary Range: 11-12 LPA Experience Level: 4-5 yrs Job Location: Chennai, Bangalore, Pune, Mumbai Job Location: WFO or Hybrid Shift Timings: 3:30 PM IST to 12:30 AM IST Hybrid Must Have Azure Data Bricks, Azure Data Factory, Spark SQL Years 4-5 years of development experience in Azure Data Bricks Strong experience in SQL, along with performing Azure Data bricks Quality Assurance. Understand complex data systems by working closely with engineering and product teams Develop scalable and maintainable applications to extract, transform, and load data in various formats to SQL Server, Hadoop Data Lake, or other data storage locations. Must Required Skills: Strong experience in SQL, along with performing Azure Data bricks Testing Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity: Total Experience Relevant experience Current CTC Expected CTC Notice Period (Last working day if you are serving the notice period) Current Location SKILL 1 RATING OUT OF 5 SKILL 2 RATING OUT OF 5 SKILL 3 RATING OUT OF 5 (Mention the skill)

Job Overview We are looking for a Data Engineer who will be part of our Analytics Practice and will be expected to actively work in a multi-disciplinary fast paced environment. This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project; its primary responsibility is the acquisition, transformation, loading and processing of data from a multitude of disparate data sources, including structured and unstructured data for advanced analytics and machine learning in a big data environment. Responsibilities: Engineer a modern data pipeline to collect, organize, and process data from disparate sources. Performs data management tasks, such as conduct data profiling, assess data quality, and write SQL queries to extract and integrate data Develop efficient data collection systems and sound strategies for getting quality data from different sources Consume and analyze data from the data pool to support inference, prediction and recommendation of actionable insights to support business growth. Design and develop ETL processes using tools and scripting. Troubleshoot and debug ETL processes. Performance tuning and opitimization of the ETL processes. Provide support to new of existing applications while recommending best practices and leading projects to implement new functionality. Collaborate in design reviews and code reviews to ensure standards are met. Recommend new standards for visualizations. Learn and develop new ETL techniques as required to keep up with the contemporary technologies. Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Support presentations to Customers and Partners Advising on new technology trends and possible adoption to maintain competitive advantage Experience Needed: 8+ years of related experience is required. A BS or Masters degree in Computer Science or related technical discipline is required ETL experience with data integration to support data marts, extracts and reporting Experience connecting to varied data sources Excellent SQL coding experience with performance optimization for data queries. Understands different data models like normalized, de-normalied, stars, and snowflake models. Worked with transactional, temporarl, time series, and structured and unstructured data. Experience on Azure Data Factory and Azure Synapse Analytics Worked in big data environments, cloud data stores, different RDBMS and OLAP solutions. Experience in cloud-based ETL development processes. Experience in deployment and maintenance of ETL Jobs. Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in service delivery. Has strong technical background and remains evergreen with technology and industry developments.At least 3 years of demonstrated success in software engineering, release engineering, and/or configuration management.Highly skilled in scripting languages like PowerShell.Substantial experience in the implementation and exectuion fo CI/CD processes. Additional Requirements Demonstrated ability to have successfully completed multiple, complex technical projects Prior experience with application delivery using an Onshore/Offshore model Experience with business processes across multiple Master data domains in a services based company Demonstrates a rational and organized approach to the tasks undertaken and an awareness of the need to achieve quality. Demonstrates high standards of professional behavior in dealings with clients, colleagues and staff. Is able to make sound and far reaching decisions alone on major issues and to take full responsibility for them on a technical basis. Strong written communication skills. Is effective and persuasive in both written and oral communication. Experience with gathering end user requirements and writing technical documentation Time management and multitasking skills to effectively meet deadlines under time-to-market pressureConduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded:. Complete the form and then email it as an attachment to.You may also.At Conduent we value the health and safety of our associates, their families and our community. For US applicants while we DO NOT require vaccination for most of our jobs, we DO require that you provide us with your vaccination status, where legally permissible. Providing this information is a requirement of your employment at Conduent.

12+ yrs of experience in Data Architecture Strong in Azure Data Services & Databricks, including Delta Lake & Unity Catalog Experience in Azure Synapse, Purview, ADF, DBT, Apache Spark,DWH,Data Lakes, NoSQL,OLTP NP-Immediate sachin@assertivebs.com

Hi, We have vacancy for Sr. Data engineer. We are seeking an experienced Senior Data Engineer to join our dynamic team. The ideal candidate will be responsible for Design and implement the data engineering framework. Responsibilities Strong Skill in Big Query, GCP Cloud Data Fusion (for ETL/ELT) and PowerBI. Need to have strong skill in Data Pipelines Able to work with Power BI and Power BI Reporting Design and implement the data engineering framework and data pipelines using Databricks and Azure Data Factory. Document the high-level design components of the Databricks data pipeline framework. Evaluate and document the current dependencies on the existing DEI toolset and agree a migration plan. Lead on the Design and implementation an MVP Databricks framework. Document and agree an aligned set of standards to support the implementation of a candidate pipeline under the new framework. Support integrating a test automation approach to the Databricks framework in conjunction with the test engineering function to support CI/CD and automated testing. Support the development teams capability building by establishing an L&D and knowledge transition approach. Support the implementation of data pipelines against the new framework in line with the agreed migration plan. Ensure data quality management including profiling, cleansing and deduplication to support build of data products for clients Skill Set Experience working in Azure Cloud using Azure SQL, Azure Databricks, Azure Data Lake, Delta Lake, and Azure DevOps. Proficient in Python, Pyspark and SQL coding skills. Profiling data and data modelling experience on large data transformation projects creating data products and data pipelines. Creating data management frameworks and data pipelines which are metadata and business rules driven using Databricks. Experience of reviewing datasets for data products in terms of data quality management and populating data schemas set by Data Modellers Experience with data profiling, data quality management and data cleansing tools. Immediate joining or short notice is required. Pls Call Hemanth 9715166618 for more info Thanks, Hemanth 9715166618

Key Requirements Strong experience in Azure Data Analytics stack Proficiency in Data Modeling, including Star Schema design Experience with Databricks and Azure Data Lake Strong SQL and DAX skills for reporting and insights Excellent communication skills-must be able to interact with global teams Power BI and Azure Synapse experience is a plus Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Location: Bangalore, Hyderabad, Chennai Notice Period: Immediate to 20 days Experience: 5+ years Relevant Experience: 5+ years Skills: Data Engineer, Azure, Python, Panda, SQL, Pyspark, SQL, Databricks, Data pipeline, Synapse

Job Description About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Azure Data Engineer. Experience: 4+ Years Skill Set: Azure Synapse, Pyspark, ADF and SQL. Location: Pune, Hyderabad, Gurgaon 5+ years of experience in software development, technical operations, and running large-scale applications. 4+ years of experience in developing or supporting Azure Data Factory (API/APIM), Azure Databricks, Azure DevOps, Azure Data Lake storage (ADLS), SQL and Synapse data warehouse, Azure Cosmos DB 2+ years of experience working in Data Engineering Any experience in data virtualization products like Denodo is desirable Azure Data Engineer or Solutions Architect certification is desirable Should have a good understanding of container platforms like Docker and Kubernetes. Should be able to assess the application/platform time to time for architectural improvements and provide inputs to the relevant teams Very Good troubleshooting skills (quick identification of the application issues and providing quick resolutions with no or minimal user/business impact) Hands-on experience in working with high-volume, mission-critical applications Deep appreciation of IT tools, techniques, systems, and solutions. Excellent communication skills along with experience in driving triage calls which involves different technical stake holders Has creative problem-solving skills related to cross-functional issues amidst the changing priorities. Should be flexible and resourceful to swiftly manage the changing operational goals and demands. Good experience in handling escalations and take complete responsibility and ownership of all critical issues to get a technical/logical closure. Good understanding of the IT Infrastructure Library (ITIL) framework and various IT Service Management (ITSM) tools available in the marketplace

Azure Data Modeler - candidate will have a strong background in data modeling, database design, and experiencewith Azure data services. requires excellent analytical skills and the ability to translate business requirements into effective data models