86 Adb Jobs - Page 4

Overview At Pepsico were redefining operational excellence with a data-driven mindset, and our Global IT team is at the forefront of this transformation. Our technology teams leverage advanced analytics to deliver predictive insights, enhance operational efficiency, and create unmatched consumer and customer experiences. Our culture is guided by our core values which define our mission to excel in the marketplace and act with integrity in everything we do. Were creating value with every initiative while promoting a sustainable and socially impactful agenda. Responsibilities Key Areas Predictive AI-based Operations ServiceNow Now Assist at Service Desk and Digital Experience Descriptive Analytics and Insights generation on ServiceNow Data Azure Cloud, Data Architecture and Azure ML Services for Global Service Desk, IT Service Management (ITSM) and Global Workplace Leadership & Stakeholder Management Responsibilities Predictive Ops and IT Experience ManagementLeverage your extensive domain expertise in ServiceNow ITSM, Service Desk Management, and End User Experience Management to identify areas for improvement and opportunities for AI and Predictive IT Ops applications, and building capabilities and optimizing Workplace Efficiency Azure Machine LearningLead the exploration and identification of Predictive and Forecasting use cases specifically tailored to the ServiceNow platform, focusing on maximizing business impact and user adoption using Azure stack. Utilize Azure Machine Learning to develop and deploy predictive models, ensuring integration with Azure services and seamless operationalization. Product ManagementPrioritize and manage the Digital Brain (i.e. AI use cases) product backlog, ensuring the timely delivery of predictive models, features, and improvements. Oversee the release of high-quality predictive solutions that meet organizational goals. Leadership and ManagementPartner with the leadership to develop a strategic roadmap for applying AI and Predictive capabilities across ITSM, Service Desk, and Digital Experience functions leveraging ServiceNow data. Stakeholder CollaborationCollaborate extensively with stakeholders to understand pain points and opportunities, translating business needs into precise user stories and actionable tasks. Ensure clear communication and alignment between business objectives and technical implementation Lead other team members in the different digital projects acting as a data science lead for the project. Act as a subject matter expert across different digital projects. Act as stream leader in innovation activities Partner with product managers in taking DS requirements and assessing DS components in roadmaps. Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Lead ML engineers working on industrialization. Coordinate work activities with Business teams, other IT services and as required. Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Experience in cloud-based development and deployment (Azure preferred) Set KPIs and metrics to evaluate analytics solution given a particular use case. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Experience in leading contractors or other team members Qualifications EducationBachelors or Masters degree in computer science, Information Systems, or a related field. ExperienceExtensive experience (12+ years) in ITSM / Service Desk Transformation / IT Operations arena with exposure to predictive intelligence, data architecture, data modelling, and data engineering, with a focus on Azure cloud-based solutions. Technical Skills: Knowledge of Azure cloud services, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Databricks (ADB), and Azure Machine Learning. Domain KnowledgeDeep understanding of ServiceNow modules, specifically ITSM related to incident, problem, request, change management coupled with extensive knowledge of predictive analytics, data science principles. Understanding and visibility into IT Operations and Support services including, Global Workplace Services like End user compute, Workplace management solutions, Unified Communications and Collaborations is an added advantage. Analytical Skills: Outstanding analytical and problem-solving skills to translate extensive business experience into highly effective predictive intelligence solutions. CommunicationExceptional communication and interpersonal skills, honed through years of collaboration with diverse stakeholders and vendors. MethodologiesExtensive experience with agile methodologies and a record of working in highly dynamic and agile development environments. Project ManagementProven ability to manage multiple projects concurrently, prioritizing tasks effectively to drive impactful results. LeadershipDemonstrated leadership and management capabilities, with a track record of guiding teams to achieve strategic goals and fostering a collaborative team environment. Strong Knowledge in Statistical/ML/AI techniques to solve supervised (regression, classification) and unsupervised problems, with focus on time series forecasting. Experiences with Deep Learning are a plus. Functional Knowledge at least one of these IT Service Management (ITSM) IT Service Desk ServiceNow (ITSM Module) Digital Workplace Services Technical Knowledge Azure Machine Learning (AML) Mandatory Azure Databricks (ADB) Mandatory Azure Data Factory (ADF) Optional Azure Data Lake Storage (ADLS) Optional Certifications at least one of these Azure Fundamentals (AI-900) Azure AI Engineer Azure Data Scientist ITIL Foundation or above

Job Summary: We are looking for a skilled Azure Data Engineer to join our Data & Analytics team. You will be responsible for building and optimizing our data pipelines, designing and implementing data solutions on Microsoft Azure, and enabling data-driven decision-making across the organization. Key Responsibilities: Design, develop, and maintain scalable data pipelines and data processing systems using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Integrate data from various structured and unstructured data sources into a centralized data lake or data warehouse. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions. Optimize data flows for performance, reliability, and scalability. Implement and manage data security, privacy, and compliance policies. Monitor and troubleshoot data pipeline issues and ensure system reliability. Leverage DevOps practices for CI/CD pipelines using tools like Azure DevOps or GitHub Actions. Document data flows, architecture, and data models. Required Skills & Qualifications: Bachelors or Master’s degree in Computer Science, Information Systems, or a related field. 4+ years of experience in data engineering or a similar role. Hands-on experience with Azure services such as: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 Azure SQL Database or Azure SQL Managed Instance Azure Databricks (preferred) Proficiency in SQL, Python, and/or PySpark for data transformation. Experience with data modeling, ETL/ELT processes, and data integration. Strong understanding of data governance, security, and compliance in the cloud. Familiarity with version control systems (e.g., Git) and CI/CD practices. Preferred Qualifications: Microsoft Certified: Azure Data Engineer Associate or equivalent certification. Experience with real-time data processing using Azure Stream Analytics or Apache Kafka. Knowledge of Power BI and data visualization best practices. Experience working in Agile or Scrum development environments.

Skill Set - Azure Data Engineer (ADF, ADB), Python Work Type - Contract on third party payroll, Hybrid Location - Bangalore, Chennai, Hyderabad Notice Period - Immediate Joiner

Good Experience in: Hadoop, SQL, Azure (ADF, ADB, ADLS, Log Analytics, Logic App, Key Vault, Blob Storage) 79 Years Old Reputed MNC Company

About The Role Overview Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping peoples careers and being thoughtful about employee wellbeing. Boeing India Software Engineering team is currently looking for one Lead Software Engineer Developer to join their team in Bengaluru, KA. As a ETL Developer , you will be part of the Application Solutions team, which develops software applications and Digital products that create direct value to its customers. We provide re-vamped work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest in software technologies for modern web and mobile application development. Through our products we deliver innovative solutions to our global customer base at an accelerated pace. Position Responsibilities: Perform data mining and collection procedures. Ensure data quality and integrity, Interpret and analyze data problems. Visualize data and create reports. Experiments with new models and techniques Determines how data can be used to achieve customer / user goals. Designs data modeling processes Create algorithms and predictive models to for analysis. Enables development of prediction engines, pattern detection analysis, and optimization algorithms, etc. Develops guidance for analytics-based wireframes. Organizes and conducts data assessments. Discovers insights from structured and unstructured data. Estimate user stories/features (story point estimation) and tasks in hours with the required level of accuracy and commit them as part of Sprint Planning. Contributes to the backlog grooming meetings by promptly asking relevant questions to ensure requirements achieve the right level of DOR. Raise any impediments/risks (technical/operational/personal) they come across and approaches Scrum Master/Technical Architect/PO accordingly to arrive at a solution. Update the status and the remaining efforts for their tasks on a daily basis. Ensures change requests are treated correctly and tracked in the system, impact analysis done, and risks/timelines are appropriately communicated. Hands-on experience in understanding aerospace domain specific data Must coordinate with data scientists in data preparation, exploration and making data ready. Must have clear understanding of defining data products and monetizing. Must have experience in building self-service capabilities to users. Build quality checks across the data lineage and responsible in designing and implementing different data patterns. Can influence different stakeholders for funding and building the vision of the product in terms of usage, productivity, and scalability of the solutions. Build impactful or outcome-based solutions/products. Basic Qualifications (Required Skills/Experience): Bachelors or masters degree as BASIC QUALIFICATION 12-15 years of experience as a data engineer. Expertise in SQL, Python, Knowledge of Java, Oracle, R, Data modeling, Power BI. Experience in understanding and interacting with multiple data formats. Ability to rapidly learn and understand software from source code. Expertise in understanding, analyzing & optimizing large, complicated SQL statements Strong knowledge and experience in SQL Server, database design and ETL queries. Develop software models to simulate real world problems to help operational leaders understand on which variables to focus. Candidate should have proficiency to streamline and optimize databases for efficient and consistent data consumption. Strong understanding of Datawarehouse concepts, data lake, data mesh Familiar with ETL tools and Data ingestion patterns Hands on experience in building data pipelines using GCP. Hands on experience in writing complex SQL (No- SQL is a big plus) Hands on experience with data pipeline orchestration tools such as Airflow/GCP Composer Hands on experience on Data Modelling Experience in leading teams with diversity Experience in performance tuning of large datawarehouse/datalakes. Exposure to prompt engineering, LLMs, and vector DB. Python, SQL and Pyspark Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse) Preferred Qualifications [Required Skills/Experience] PubSUB, Terraform Deep Learning - Tensor flow Time series, BI/Visualization Tools - Power BI and Tablaeu, Languages - R/Phython Deep Learning - Tensor flow Machine Learning NLP Typical Education & Experience Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 12 to 15 years' related work experience or an equivalent combination of education and experience (e.g. Master+11 years of related work experience etc.) Relocation This position does offer relocation within INDIA. Export Control Requirements This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India)

Open & Direct Walk-in Drive event | Hexaware technologies - Azure Data Engineer/Architect in Chennai, Tamilnadu on 10th May [Saturday] 2025 - Azure Databricks/ Data factory/ SQL & Pyspark Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as an Azure Data Engineer. We are hosting an Open Walk-in Drive in Chennai, Tamilnadu on 10th May [Saturday] 2025, and we believe your skills in Databricks, Data Factory, SQL, and Pyspark align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 10th May [Saturday] 2025 Experience: 5 years to 12 years Time: 9.00 AM to 5 PM Venue: HEXAWARE TECHNOLOGIES H-5, Sipcot It Park, Post, Navalur, Siruseri, Tamil Nadu 603103 Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Key Skills and Experience: As an Azure Data Engineer, we are looking for candidates who possess expertise in the following: Databricks Data Factory SQL Pyspark/Spark Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: Designing, implementing, and maintaining data pipelines Collaborating with cross-functional teams to understand data requirements. Optimizing and troubleshooting data processes Leveraging Azure data services to build scalable solutions. What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team. ********* less than 4 years of total experience will not be Screen selected to attend the interview***********

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 24 Yrs Location- Pan India Job Description : - Candidates should have minimum 2 Years hands on experience as Azure databricks Architect If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 Yrs - 18 Yrs Location- Pan India Job Description : - Experience in Synapase with pyspark Knowledge of Big Data pipelinesData Engineering Working Knowledge on MSBI stack on Azure Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage Handson in Visualization like PowerBI Implement endend data pipelines using cosmosAzure Data factory Should have good analytical thinking and Problem solving Good communication and coordination skills Able to work as Individual contributor Requirement Analysis CreateMaintain and Enhance Big Data Pipeline Daily status reporting interacting with Leads Version controlADOGIT CICD Marketing Campaign experiences Data Platform Product telemetry Analytical thinking Data Validation of the new streams Data quality check of the new streams Monitoring of data pipeline created in Azure Data factory updating the Tech spec and wiki page for each implementation of pipeline Updating ADO on daily basis If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 Yrs - 18 Yrs Location- Pan India Job Description : - Mandatory Skill: Azure ADB with Azure Data Lake Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards Ensure best practices are followed in terms of code quality data security and scalability Stay updated with the latest developments in Databricks and associated technologies to drive innovation Essential Skills Strong experience with Azure Databricks including cluster management notebook development and Delta Lake Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Experience with ETLELT processes data warehousing and building data lakes Strong SQL skills and familiarity with NoSQL databases Experience with CICD pipelines and version control systems like Git Knowledge of cloud security best practices Soft Skills Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders Strong problemsolving skills and a proactive approach to identifying and resolving issues Leadership skills with the ability to manage and mentor a team of data engineers Experience Demonstrated expertise of 8 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory Solid understanding and handson experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2 Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation Proficiency in building and optimizing query layers using Databricks SQL Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for endtoend analytics solutions Prior experience in developing optimizing and deploying Power BI reports Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 11 - 20 Yrs Location- Pan India Job Description : - Minimum 2 Years hands on experience in Solution Architect ( AWS Databricks ) If interested please forward your updated resume to sankarspstaffings@gmail.com With Regards, Sankar G Sr. Executive - IT Recruitment

Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Preferred: Hyderabad At least 5+ years of relevant hands on development experience as Azure Data Engineering role Proficient in Azure technologies like ADB, ADF, SQL(capability of writing complex SQL queries), ADB, PySpark, Python, Synapse, Delta Tables, Unity Catalog Hands on in Python, PySpark or Spark SQL Hands on in Azure Analytics and DevOps Taking part in Proof of Concepts (POCs) and pilot solutions preparation Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows Experience in business processing mapping of data and analytics solutions