69353 Sql Jobs - Page 5

Role & responsibilities We are seeking a skilled SQL Developer with strong experience in Databricks and Power BI to join our data engineering and analytics team. The ideal candidate will have a solid foundation in SQL development, hands-on experience with Databricks for data processing, and proficiency in creating insightful dashboards using Power BI. Key Responsibilities: Design, develop, and optimize SQL queries, stored procedures, and data pipelines. Develop and maintain scalable data workflows using Azure Databricks . Integrate, transform, and consolidate data from various sources into data warehouses or lakes. Create, manage, and publish interactive dashboards and reports using Power BI . Work closely with data engineers, analysts, and business stakeholders to understand requirements and translate them into data solutions. Ensure data quality, integrity, and security in all deliverables. Troubleshoot performance issues and recommend solutions to optimize data processing and reporting performance. Required Skills: Strong proficiency in SQL , including query optimization and data modeling. Hands-on experience with Databricks (preferably on Azure Databricks ). Proficiency in Power BI dashboard creation, DAX, Power Query, data visualization. Familiarity with ETL/ELT processes and tools. Experience with cloud platforms (preferably Azure ). Understanding of data warehousing concepts and architecture.

SQL Server & MSBI Developer (Entry-Level) Startup Opportunity Role: SQL Server Developer Salary: 10,000 to 16,000 per month Experience: 0 to 1 year Please send your latest resume along with a passport-size photograph to jobs@aisoftsols.com .

Data Scientist 2-Digital Banking Kotak 811-Regional Sales Role: Data Scientist 2 Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 4- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 5- Have worked across end to end in model design, development, validation, documentation & deployment. 6- Create great data stories with expertise in robust EDA and statistical inference

Role & responsibilities You should be someone who thrives on solving complex problems and has a natural attraction to ill-defined challenges that seem intractable, transforming them into elegant data science solutions. You find yourself comfortable in the middle of what seems to be chaos, knowing you can discover patterns and create order through data. You want to create a meaningful impact by solving complex healthcare problems through your passion for data science and machine learning. Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field 5+ years of hands-on data science experience with a proven track record of deploying ML models to production Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques Experience with model deployment, monitoring, and MLOps practices Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred candidate profile

Hi All, looking for a .Net Developer. Interview mode- F2F at bangalore location. Date- 25th June 2025

BMC is looking for a talented Sr C Developer to join our family working on complex software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Contribute to be a member of the Development team responsible for developing and debugging of software products. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Work across product lines with interaction of other BMC products Independently design and implement features that address customer needs with a sense of ownership within given timelines As every BMC employee, you will be given the opportunity to learn, be included in global projects, challenge yourself and be the innovator when it comes to solving everyday problems. To ensure youre set up for success, you will bring the following skillset & experience: You can embrace, live and breathe our BMC values every day! You have 8+ years of Programming experience with C/C++ programming language Experience with IBM DB2 database and SQL is good to have. Familiarity with the z/OS operating system, JCL and Rexx Experience with Assembler is also a plus

Description Position Summary: Responsible for supporting the business needs of the HR organization through application of HR Technology. Qualifications The Senior HRIS Analyst is a senior-level position within HRIS. This position collaborates with HR Business Partners (HRBPs) and their client groups to analyze, design, and improve work processes and leverage technical solutions to solve business problems. This position maintains a system orientation and works closely with peers to prioritize and plan work. The position serves as a point of contact for our HR applications and assists subject matter experts with ensuring data integrity, testing of system changes, reports creation, and process improvements. The position partners closely with our IT Department and supports upgrades, patches, testing, and other projects associated with our HR applications. Key activities include: System Implementation / Maintenance- Participate in selection and testing of HR systems / processes and their implementation. Test and implement HR application upgrades and patches, partnering closely with HR team members, IT, and vendors, as appropriate. Leading user acceptance testing efforts for defects / bug fixes released by IT. Validate and process mass data upload spreadsheets. Assist in integrations testing with other systems. Production Support- Provide technical support to users on HR applications and processes using internal Case Management system. This involves researching and resolving issues, training users and other HR team members on application functionality and recommending solutions or other approaches to meet requirements. Ensure data consistency across HR systems by performing new hire data validations. Reporting- Create and provide support for reports using Oracle Analytics / OTBI. Assist in the maintenance of data integrity in systems by running reports and reviewing data. Audit and Assurance: Partner with Assurance Team to conduct quarterly compliance/SOX system audits and provide supporting documentation to ensure regulations are met. Projects and Process Improvement- Implement new applications and look for ways to simplify our existing applications. Recommend process, user interface, and other changes to optimize the user experience. Education Bachelors degree in computer science, human resources, or related field or equivalent work experience is required. Masters degree in human resource management, business administration, MIS, or related degree preferred. Work Experience and Skills Oracle HCM experience is required. Oracle Analytics / OTBI experience is a plus. Thorough understanding of MS Excel is required. Python experience is a plus, but not required Seven to nine years of HRIS experience that included HRIS / project management / systems implementation. Strong communication skills, both written and verbal, are required. Strong relationship-building skills.

Job Summary: oin our team and what well accomplish together As an MDM Developer, you will be responsible for implementing and managing Master Data Management (MDM) projects. The ideal candidate will have extensive experience with Informatica MDM and proficiency in configuring MDM tools and integrating them with cloud environments. You will utilize your expertise in data engineering to build and maintain data pipelines, optimize performance, and ensure data quality. You will be working as part of a friendly, cross-discipline agile team who helps each other solve problems across all functions. As a custodian of customer trust, you will employ best practice in development, security, accessibility and design to achieve the highest quality of service for our customers. Our development team uses a range of technologies to get the job done including ETL and data quality tools from Informatica, streaming via Apache NiFi, google native tools on GCP (Dataflow, Composer, Big Query, etc.). We also do some API design and development with Postman and Node.js You will be part of the team building data pipelines that support our marketing, finance, campaign and Executive Leadership team as well as implementing Informatica Master Data Management (MDM) hosted on Amazon Web Services (AWS). Specifically you’ll be building pipelines that support insights to enable our business partners’ analytics and campaigns. You are a fast learner, highly technical, passionate person looking to work within a team of multidisciplinary experts to improve your craft and contribute to the data development practice. Here’s how Learn new skills & advance your data development practice Analyze and profile data Design, develop, test, deploy, maintain and improve batch and real-time data pipelines Assist with design and development of solution prototypes Support consumers with understanding the data outcomes and technical design Collaborate closely with multiple teams in an agile environment What you bring You are a senior developer with 3+ years of experience in IT platform implementation in a technical capacity Bachelor of Computer Science, Engineering or equivalent Extensive experience with Informatica MDM (Multi-Domain Edition) version 10 Proficiency in MDM configuration, including Provisioning Tool, Business Entity Services, Customer 360, data modeling, match rules, cleanse rules, and metadata analysis Expertise in configuring data models, match and merge rules, database schemas, and trust and validation settings Understanding of data warehouses/cloud architectures and ETL processes Working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases Experience with the Google Cloud Platform (GCP) and its related technologies (Kubernetes, CloudSQL, PubSub, Storage, Logging, Dashboards, Airflow, BigQuery, BigTable, Python, BQ SQL, Dataplex, Datastream etc.) Experience with Informatica IDQ/PowerCenter/IICS, Apache NiFi and other related ETL tools Experience with Informatica MDM (preferred) but strong skills in other MDM tools still an asset Experience working with message queues like JMS, Kafka, PubSub A passion for data quality Great-to-haves Experience with Informatica MDM SaaS Experience with Python and software engineering best practices API development using Node.js and testing using Postman/SoapUI Understanding of TMF standards

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design ? Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills ? Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams ? Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space ? Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer

Hi , We are hiring Automation Engineer ( Python , SQL , PLC, Ignition) Primary Skills: Python, SQL, Ignition, PLC Secondary Skills: Kepware/OPC, NLP, AWS Cloud, MQTT, CVML, Networking & Machine Connectivity, IE, ME skill sets, LabVIEW, TestStand Job Summary We are seeking an experienced Automation Engineer with a strong background in Python, SQL, Ignition SCADA, and PLC programming. The ideal candidate will be responsible for developing, deploying, and maintaining automation solutions in industrial or manufacturing settings, integrating various hardware and software platforms, and ensuring robust machine connectivity and data flow. Roles & Responsibilities Ignition & SCADA Development Design, develop, and maintain Ignition applications, dashboards, and HMIs for industrial automation. Configure and manage Ignition Gateways, projects, and tag structures. Integrate Ignition with PLCs, Kepware/OPC servers, and other industrial devices using protocols such as OPC-UA and MQTT. Implement scripting and automation logic using Python within Ignition environments. Database & Data Integration Design and optimize SQL database schemas, tables, views, and indexes to support automation solutions. Develop, test, and maintain complex SQL queries, stored procedures, and triggers. Integrate data from Ignition and other sources with SQL databases for analytics and reporting. Implement ETL processes and data integration solutions as required. Machine Connectivity & Networking Configure and maintain machine connectivity using Kepware, OPC, and networking protocols. Analyze machine communication capabilities and connectivity constraints. Troubleshoot and optimize network and machine data flows for reliability and performance. Cloud & Advanced Technologies Integrate automation systems with AWS Cloud and other cloud storage solutions as needed. Apply knowledge of MQTT, CVML, NLP, and other advanced technologies to enhance automation capabilities. Testing & Validation Develop and execute test plans for automation solutions, including integration, load, and user acceptance testing. Validate data accuracy, system reliability, and error handling mechanisms. Collaboration & Documentation Work closely with cross-functional teams including engineers, IT, and operations to deliver robust solutions. Provide training and technical support for deployed systems. Ensure thorough documentation of all development activities, configurations, and user manuals. Maintenance & Optimization Monitor system and database performance, implementing improvements as needed. Perform regular updates, ensure data security compliance, and troubleshoot issues promptly

Role & responsibilities Monitor overdue vehicle finance accounts and initiate recovery efforts through calls, emails, and digital platforms. Analyze repayment behaviour and trends to identify high-risk accounts. Collaborate with the field collections team and legal department for follow-ups, repossession, and legal action as needed. Maintain detailed records of all collection activities in the loan management system (LMS). Prepare and present collection performance reports (DPD buckets, roll rates, flow-through) to management. Recommend payment restructuring or settlements for distressed accounts as per policy. Ensure adherence to regulatory norms (RBI guidelines) and internal risk policies. Support automation and digitization of collection processes through tools like dialers, bots, or customer apps. Work closely with cross-functional teams including Risk, Sales, Legal, and Tech to improve collection outcomes. Preferred candidate profile Bachelors degree in finance, Business, or related field (MBA preferred) 2–5 years of relevant experience in vehicle finance / NBFC / fintech collections Familiarity with credit bureau reports (CIBIL, Equifax) and RBI collections framework Interested candidates can send their resume to hr@evfin.co

Job Title: Junior AI Engineer / Data Engineer Location: Chennai Reports To : Senior AI Engineer / Data Architect Job Summary: This role is ideal for an early-career engineer eager to develop robust data pipelines and support the development of AI/ML models. The Junior AI Engineer will primarily focus on data preparation, transformation, and infrastructure to support scalable AI systems. Key Responsibilities: Build and maintain ETL pipelines for AI applications. Assist in data wrangling, cleaning, and feature engineering. Support data scientists and AI engineers with curated, high-quality datasets. Contribute to data governance and documentation. Collaborate on proof-of-concepts and prototypes of AI solutions. Required Qualifications: Bachelors degree in computer science, Engineering, or a related field. 2+ years of experience in data engineering. Proficient in Python, SQL; exposure to Azure platform is a plus. Basic understanding of AL/ML concepts.

etermine the design and workout strategy for new projects. Lead the Project lifecycle closely following Governance models. • Identify and resolve issues reported within defines SLAs part of routine maintenance of existing applications built in SharePoint online. • Report extraction and automations to support different metrics, that are maintained in the applications. • Work with Stakeholders on the enhancements in the existing applications. Project Planning, Tracking, & Reporting • Workout budgetary estimates during kick off, after understanding the high-level requirements. • Support the team in project planning activities, identify risks proactively, escalating thru appropriate channels as required and responsible for closely tracking the actual efforts • Communicate regularly the status of Projects, risks that creeps, impediments if any. Design • Familiar with Microsoft Visio, Word to create HLD, LLD, DLD in various stages of SharePoint site development and maintenance. Responsibilities as Tableau Administrator Configure and maintain Tableau Server Software Layer. System Administration (includes site creation, server maintenance/Upgrades/patches). Change management including software, hardware upgrades, patches Monitor server activity/usage statistics to identify possible performance issues/enhancements Partner with business to design tableau KPI scorecards dashboards. Performance tuning / Server management of tableau server environment (clustering, Load balancing). Create/Manage Groups, Workbooks and Projects, Database Views, Data Sources and Data Connections. Proactively communicate with the Customer/Stakeholders to resolve issues and get work done. Set up a governance process around Tableau dashboard processes Create and host tableau extension API Location: This position can be based in any of the following locations: Chennai For internal use only: R000107005

ORG: AXA GBS Role: Performance Test Engineer Location: Bangalore/ Pune Work Mode: Hybrid (2 days WFO & 3 days WFH) Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Strong experience in performance testing with a focus on web applications, APIs, and microservices. Proficiency in performance testing tools such as JMeter, LoadRunner, or similar. Strong understanding of performance testing methodologies, metrics, and best practices. Experience with scripting languages (e.g., Python, Shell) for automation purposes is a plus. Familiarity with monitoring tools (e.g., New Relic, Grafana) to analyze application performance. Excellent analytical and problem-solving skills. Strong communication skills, with the ability to work collaboratively in a team environment. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes). Knowledge of database performance tuning and optimization. Familiarity with CI/CD pipelines and DevOps practices. ISTQB certified will be a plus

Design & Development: • Design and develop high-performance, interactive Power BI dashboards with data sourced from Databricks. • Build and optimize data models in Power BI, leveraging Delta Lake tables and Databricks SQL endpoints. • Develop efficient DAX measures and Power Query (M) transformations for complex reporting needs. • Implement dynamic filters, parameters, and slicers for enhanced user interactivity. • Collaborate with business teams to translate requirements into scalable Power BI solutions. Data Analysis & Reporting: • Write and optimize complex SQL queries for data extraction and transformation. • Perform data profiling and analysis to ensure accuracy and consistency. • Perform data validation and reconciliation between Databricks and Power BI to ensure accuracy. • Optimize report performance by fine-tuning Databricks queries and Power BI data models. • Provide insights through dashboards and ad-hoc reports. • Translate business problems into meaningful dashboards and visuals. Optimization & Maintenance: • Tune Power BI reports and Databricks queries for fast load times and minimal latency. • Monitor and optimize data refresh schedules to balance performance and cost. • Maintain and enhance existing dashboards as business needs evolve. Collaboration: • Work closely with data engineers, analysts, and business stakeholders. • Support integration of Power BI with data pipelines and data warehouses. Experience: • Minimum 5 years of hands-on experience with Power BI report and dashboard development. • Proven expertise in SQL and data analysis. • Strong experience working with large datasets and optimizing data flows. Technical Skills: • Strong proficiency in Power BI, including Power Query and DAX. • Solid SQL knowledge for querying relational databases. • Experience with data warehousing tools such as Snowflake, or Databricks. • Familiarity with version control systems like Git is a plus. • Understanding ETL concepts and data transformation is the best practice.

We are looking for a Subject Matter Expert with expertise in electronic component valuation, data analytics, and quoting methodologies for assets such as laptops, desktops, and smartphones. The candidate will independently handle projects, ensuring technical and pricing accuracy while collaborating with vendors, OEM partners, and internal stakeholders. Skills : - Electronic Component Valuation, Data Analytics, Power BI, Quoting Methodologies, FMV Calculations, Pricing Strategies, Excel Macros, IT Asset Disposal (ITAD), SQL, Vendor Management, Agile, Scrum, Excel, Power BI, SQL, Data Analytics, ITAD, Pricing Models

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

ETL Test Automation with expertise in SQL, Azure, Snowflake, and Power BI. Strong in data quality, validation, and testing ETL pipelines using tools like Informatica. Skilled in data warehousing concepts and ensuring accurate, reliable data delivery.

We are seeking a skilled Business Analyst with 46 years of experience, including at least 2 years in Azure Data Engineering projects, for a 6-month remote full-time role. The ideal candidate will work closely with stakeholders to gather and analyze business and technical requirements, collaborate with Azure Data Engineers, and support design decisions across data integration, transformation, and storage layers. Strong SQL skills, understanding of data governance, and experience in data platforms are essential. Excellent communication and stakeholder management skills are required. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

Role & responsibilities Engaging with potential leads via calls drive successful conversions . Utilize strong sales techniques to persuade and close deals efficiently. Work closely with the OSP team to enhance the overall performance of the SNO process. Monitor and track lead status, ensuring timely follow-ups for better conversion. Identify and resolve customer objections to facilitate a smooth payment process . Maintain high call quality standards and ensure adherence to process guidelines. Provide feedback on customer behavior and market insights to refine sales strategies. Real-Time Performance Monitoring : Ensuring immediate interventions and data-driven improvements. Targeted Coaching & Motivation : Actively driving agents to enhance their sales approach and maximize conversions. Quick Adaptation to Process Enhancements : Implementing necessary changes based on real-time insights. Accountability & Ownership : Strengthening leadership at the center level for better execution and alignment with goals.

Data Engineer Experience 5 to 10 years Location Pune Yeravda hybrid Primary Skill: Scala coding Spark SQL **Key Responsibilities:** - Design and implement high-performance data pipelines using Apache Spark and Scala. - Optimize Spark jobs for efficiency and scalability. - Collaborate with diverse data sources and teams to deliver valuable insights. - Monitor and troubleshoot production pipelines to ensure smooth operations. - Maintain thorough documentation for all systems and code. **Required Skills & Qualifications:** - Minimum of 3 years hands-on experience with Apache Spark and Scala. - Strong grasp of distributed computing principles and Spark internals. - Proficiency in working with big data technologies like HDFS, Hive, Kafka, and HBase. - Ability to write optimized Spark jobs using Scala effectively.

2+ yrs WFM, planning & forecasting; expert in MS Excel (pivot tables, large datasets); 2+ yrs multi-source data analysis; 1+ yr IEX (NICE WFM); skilled in MS Word & PowerPoint. Share resume: shweta@plannedmovz.com | Contact: 9810337650

Role : Sr. Database Engineer Location : Pune Exp : 5-7 years Job Description : Oracle PLSql Developer The Associate shall perform the role of PLSQL Developer and shall be responsible for the following: • Hands on coding in SQL and PLSQL • Create/implement database architecture for new applications and enhancements to existing applications • Hands-on experience in Data Modeling, SSAS, Cubes, query Optimization • Create/implement strategies for partitioning, archiving and maturity models for applications. • Review queries created by other developers for adherence to standards and performance issues • PLSQL, TSQL, SQL Query Optimization, Data Models, Data lakes • Interact with Database, Applications analysts and Business users for estimations. • Do impact analysis of existing applications and suggest best ways of incorporating new requirements Proactively engage in the remediation of software issues related to code quality, security, and/or pattern/frameworks. Interested candidates can share their resume at Neesha1@damcogroup.com

Global Gen AI Developer Enabling a software-defined, electrified future. Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here. Mission of the Role: Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally. Key Objectives of this Role: The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteons strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteons technological capabilities. Qualification, Experience and Skills: 6-8 Yrs Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). Proficiency in developing, training, and deploying ML models, including supervised and unsupervised learning, deep learning, and reinforcement learning. Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. Experience with cloud platforms (preferably Microsoft Azure) for deploying and scaling ML solutions. Business Acumen : Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations. Key Behaviors: Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward. Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation. Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

Hiring Sr. Node.js Engineer with expertise in Node.js, Express, CI/CD, RabbitMQ/Kafka, Event Loop, performance tuning, and debugging. Lead dev projects, quality, design scalable apps, and collaborate across teams. Strong comm & leadership skills.