38 Kimball Jobs in Malegaon

Job Description: Paint QC Engineer / Executive Location: MalegaonDepartment: Quality / Paint ShopRole Type: Full-time Position Overview The Paint QC Engineer/Executive at Hyundai Motor India Limited is responsible for ensuring adherence to paint quality standards across all paint shop processesfrom pretreatment to topcoat application. The role involves process audits, defect analysis, documentation management, and driving continuous improvement to meet OEM and Tier-1 quality requirements. This position plays a crucial role in enhancing product quality, minimizing paint-related defects, and ensuring compliance with quality management systems. Key Responsibilities Quality Control & Inspection Monitor and ensure paint quality across all stages of painting, including pretreatment, ED coating, primer, basecoat, and topcoat. Conduct regular inspections and audits of painted bodies to identify defects and ensure adherence to standards. Perform quality confirmations for painted components as per Hyundai specifications. Defect Analysis & Improvement Analyze paint defects such as runs, sags, orange peel, dust, and pinholes to identify root causes. Implement corrective and preventive actions (CAPA) to minimize recurring defects. Support initiatives focused on continuous process improvement and defect reduction. Process Monitoring & Optimization Review paint process parameters and ensure compliance with Hyundai paint processes and approved operating procedures. Evaluate and improve inspection protocols, paint booths, ovens, and related equipment performance. Collaborate with production, maintenance, and supplier teams to optimize paint flow and quality. Documentation & Compliance Maintain documentation as per ISO and QMS requirements, including quality reports, audit findings, and SOPs. Ensure proper record-keeping for defect trends, inspections, and process deviations. Support internal and external audits conducted as part of the quality management system. Cross-functional Collaboration Coordinate with production, R&D, maintenance, and supplier teams to ensure consistent paint quality. Provide training and guidance to shop-floor employees on defect identification, paint quality standards, and inspection methodologies. Skills & Competencies Strong knowledge of paint quality, process improvement, and Hyundai paint process standards. Expertise in defect analysis, inspection protocols, and paint shop operations. Proficiency in root cause analysis tools (5 Why, Fishbone, Pareto). Good documentation and communication skills. Ability to work cross-functionally in a fast-paced manufacturing environment. Education & Experience B.E. in Mechanical / Automobile / Chemical Engineering or related field. 2-5 years of experience in Paint Shop Quality within automotive or Tier-1 manufacturing.

Job ID: ITC/P-E/20251030/23136 Role: Planning & Engagement Location: Malegaon Status: Open Role Overview The Planning & Engagement role at Hyundai Motor India Limited focuses on developing and executing employee engagement strategies to build a positive work culture, boost morale, and strengthen organizational values. The role involves coordinating engagement events, tracking engagement metrics, and supporting leadership communication initiatives. Key Responsibilities Design and implement employee engagement strategies. Plan and coordinate events, workshops, and activities to enhance team collaboration. Monitor engagement metrics through surveys, feedback, and data analysis. Support leadership communication and organization-wide messaging. Drive employee recognition programs and appreciation initiatives. Conduct awareness sessions to promote inclusivity and cultural alignment. Prepare presentations and engagement reports for leadership review. Required Skills Engagement strategy planning Event coordination Data analysis Strong communication skills Proficiency in MS PowerPoint (PPT skills) Qualification M.B.A Salary Range 6,00,000 15,00,000

Job ID: ITC/-S/20251030/24776 Role: L&D Specialist Location: Malegaon Status: Open   Role Overview The L&D Specialist will drive learning and development initiatives by identifying skill gaps, designing training programs, and enhancing employee capability across the organization. The role focuses on strategic training planning, soft skills development, and fostering a culture of continuous learning. Key Responsibilities Conduct Training Need Analysis (TNA) to identify skill and competency gaps. Align training programs with business goals and department requirements. Design, develop, and deliver targeted training programs. Manage and support industry certification programs. Conduct soft skills and behavioral training sessions. Evaluate training effectiveness using structured evaluation models. Handle training logistics, scheduling, and coordination. Promote continuous learning and employee development initiatives. Create professional training content and presentations (PPT skills). Required Skills Training Need Analysis Training Program Design & Delivery Soft Skills Training Strong Communication Skills PPT / Presentation Skills Qualification MBA (preferably in HR, L&D, or related fields) Experience Required 5 to 9 years in Learning & Development or training roles Salary Range 7,00,000 - 16,00,000

Hi, Greetings from MPS Management Services!!Open position leading in Life Insurance Company. Company Name- Star Union Daiichi (SUD) Life Insurance Profile - Branch Manager Channel- APC (Agency Partner Channel) Handling Partners Locations - Jalgaon, Aurangabad, Dhule, Nandurbar, Malegaon Ctc Budget -  upto 6.5 LPA Interested candidates can apply on the same,  RegardsPrincy YadavHR ExecutiveMPS Management Services

Job ID: ITC/TM/20251030/22304 Role: Time Management Location: Malegaon Status: Open   Role Overview This role focuses on end-to-end payroll and time management operations, ensuring accurate employee data administration and full statutory compliance. The candidate will be responsible for payroll accuracy, labor cost reporting, compensation processes, and supporting HR teams in total rewards and salary structures. Key Responsibilities Manage payroll processing and time management systems. Maintain and update employee personal data and records. Ensure statutory compliance for PF, Gratuity, Superannuation, NPS, etc. Prepare monthly MIS and labor cost reports. Support the design and maintenance of salary structures. Administer the annual compensation review cycle. Collaborate on total rewards programs and communication. Provide compensation guidance to HRBPs, recruiters, and managers. Ensure hands-on management of employee time and attendance systems. Required Skills Payroll Processing Time & Attendance Management Employee Data Administration Statutory Compliance Excel / MIS Reporting Qualification MPM (Master in Personnel Management) or equivalent HR specialization Experience Required 5 to 9 years (relevant HR/payroll experience preferred) Salary Range 5,00,000 - 10,00,000

As a Power BI Developer at Dentsu, you will play a crucial role in the Enterprise Data team by leveraging your expertise in Power BI and data visualization to drive leading-edge business analytics. **Key Responsibilities:** - Building Enterprise Power BI reporting solutions to meet the organization's data visualization needs. - Defining and designing data visualization models and solutions within the Microsoft Azure ecosystem using tools like Power BI, Azure Synapse Analytics, MSFT Fabric, and Azure Machine Learning. - Developing strategies for analytics, reporting, and governance to ensure scalability, reliability, and security. - Evaluating emerging Power BI technologies and analytical capabilities to enhance existing solutions. - Providing guidance on cost optimization, performance tuning, and best practices in Power BI & Analytics solutions. - Collaborating with business stakeholders, product managers, and data scientists to understand business objectives and translate them into technical solutions. - Working with DevOps, engineering, and operations teams to implement CI/CD pipelines and ensure smooth deployment of analytical solutions. **Qualifications Required:** - Proficiency in Power BI and related technologies such as MSFT Fabric, Azure SQL Database, Azure Synapse, Databricks, and other visualization tools. - Hands-on experience with Power BI, machine learning, and AI services in Azure. - Excellent data visualization skills and experience. - Expertise in DAX. In terms of technical expertise, you should possess: **Professional Experience:** - 5+ years of experience in Power BI Development, with a proven track record of designing high-quality models and dashboards using Power BI to transform raw data into meaningful insights. - Extensive experience using Power BI Desktop, DAX, Tabular Editor, and related tools. - Proficiency in Power BI Premium capacity administration and SQL development. - Comprehensive understanding of data modeling, administration, and visualization. - Relevant certifications in Power BI, machine learning, AI, or enterprise architecture. **Key Competencies:** - Expertise in data visualization tools like Power BI or Tableau. - Ability to create semantic models for reporting purposes. - Familiarity with Microsoft Fabric technologies including One Lake, Lakehouse, and Data Factory. - Strong understanding of data governance, compliance, and security frameworks. - Proven ability to drive innovation in data strategy and cloud solutions. - Deep understanding of business intelligence workflows and the ability to align technical solutions. - Strong database design skills, encompassing both normalized form and dimensional form databases. - In-depth knowledge and experience of data warehousing strategies and techniques such as Kimball Data warehousing. - Experience in cloud-based data integration tools like Azure Data Factory. - Familiarity with agile development techniques and objectives. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent,

Role Overview: You will be responsible for designing, building, and optimizing modern data platforms as a Senior Data Analytics/Engineer. Your expertise in Python, Snowflake, Databricks, and SQL will be crucial for leading data engineering initiatives and contributing to high-impact analytics projects. You will also play a key role in driving best practices across the organization. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and workflows using Python, Snowflake, and Databricks. - Build and automate ELT/ETL processes while following best practices in data modeling and transformation. - Develop transformation models with DBT Core to standardize and streamline data operations. - Optimize large-scale datasets for performance, reliability, and accessibility. - Write advanced, high-performance SQL queries for data extraction, transformation, and analysis. - Implement and manage CI/CD workflows using GitHub Actions for automated testing, deployment, and version control. - Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions. - Ensure data integrity, security, and governance across platforms. - Troubleshoot complex data issues and implement long-term automation and monitoring solutions. - Stay updated with emerging data engineering tools and best practices. Qualification Required: - 5+ years of experience in Data Engineering or Senior Data Analytics roles. - Strong proficiency in Python for data engineering and automation. - Hands-on experience with Snowflake and Databricks environments. - Expert-level SQL skills and experience working with large datasets. - Experience with DBT Core (highly preferred). - Experience in implementing CI/CD pipelines using GitHub Actions. - Solid understanding of data warehousing, data modeling (e.g., Kimball, Data Vault), and ETL/ELT principles. - Familiarity with cloud platforms like AWS, Azure, or GCP. - Strong problem-solving abilities and capability to work independently in a fast-paced environment. Preferred Qualifications: - Experience with infrastructure-as-code or automation tools. - Knowledge of testing frameworks for data validation (e.g., Great Expectations). - Experience working in an agile environment.,

As a Data Engineer, you will be responsible for handling and manipulating data efficiently to support the organization's data needs. Your key responsibilities will include: - Demonstrating 8-12 years of overall professional experience, with a minimum of 7 years focused on data engineering. - Showcasing proven expertise in the Snowflake data warehouse platform, including a deep understanding of its architecture, features, and best practices. - Utilizing expert-level SQL skills for data manipulation, complex query writing, and performance tuning. - Applying extensive experience with ETL/ELT tools and techniques to build scalable data pipelines. - Exhibiting proficiency in at least one scripting language, with Python being highly preferred, for data processing and automation. - Utilizing hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), particularly in data storage services (e.g., S3, ADLS) and computing. - Demonstrating a solid understanding of data warehousing concepts, including Kimball and Inmon methodologies. In addition to the above qualifications, the ideal candidate for this role should have: - 8-12 years of overall professional experience - Minimum of 7 years of hands-on experience in data engineering - Proven, in-depth experience with the Snowflake data warehouse platform - Expert-level SQL skills for data manipulation, complex query writing, and performance tuning - Extensive experience with ETL/ELT tools and techniques - Proficiency in at least one scripting language, preferably Python, for data processing and automation - Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) for data storage and computing - Solid understanding of data warehousing concepts, including Kimball and Inmon methodologies,

As a BI Data Engineer at Dentsu, your role within the Enterprise Data team will be pivotal in driving the organization towards becoming a fully digital entity. You will be responsible for building and implementing cutting-edge business analytics solutions using Azure data engineering tools and cloud-based databases. Your expertise in data engineering, ADF Integration, and database development will be crucial in delivering high-quality technical solutions that align with the company's business objectives. **Key Responsibilities:** - Build Enterprise data engineering and Integration solutions utilizing Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Fabric. - Develop enterprise ETL and integration routines using Azure Data Factory. - Evaluate emerging Data engineering technologies, standards, and capabilities. - Collaborate with business stakeholders, product managers, and data scientists to translate business objectives into technical solutions. - Work with DevOps, engineering, and operations teams to implement CI/CD pipelines for smooth deployment of data engineering solutions. **Required Skills and Experience:** **Technical Expertise:** - Proficiency in the Azure platform, including Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Fabric. - Exposure to Data bricks and lakehouse architecture & technologies. - Extensive knowledge of data modeling, ETL processes, and data warehouse design principles. - Experience in machine learning and AI services in Azure. **Professional Experience:** - 5+ years of experience in database development using SQL. - 5+ years integration and data engineering experience. - 5+ years experience using Azure SQL DB, ADF, and Azure Synapse. - 2+ years experience using Power BI. - Comprehensive understanding of data modeling. - Relevant certifications in data engineering, machine learning, AI. **Key Competencies:** - Expertise in data engineering and database development. - Familiarity with Microsoft Fabric technologies including One Lake, Lakehouse, and Data Factory. - Strong understanding of data governance, compliance, and security frameworks. - Proven ability to drive innovation in data strategy and cloud solutions. - Deep understanding of business intelligence workflows and the ability to align technical solutions. - Strong database design skills, including an understanding of both normalized form and dimensional form databases. - In-depth knowledge and experience of data warehousing strategies and techniques (e.g., Kimball Data warehousing). - Experience in Cloud-based data integration tools like Azure Data Factory. - Experience in Azure DevOps or JIRA is a plus. - Experience working with finance data is highly desirable. - Familiarity with agile development techniques and objectives. As a BI Data Engineer at Dentsu, you will be based at DGS India - Mumbai - Thane Ashar IT Park on a full-time permanent contract.,

Role Overview: As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you will be responsible for analyzing, developing, and delivering business intelligence solutions using the Microsoft Analytics stack. Your expertise will be utilized to ensure client expectations and business decision-making tool needs are met. Your role will involve using analytical and problem-solving skills to create scalable and reliable data solutions through data analytics solution development. Key Responsibilities: - Lead and participate in the development of high-quality software solutions for client projects, utilizing modern programming languages and frameworks. - Contribute to system architecture and technical design decisions to ensure solutions are scalable, secure, and meet client requirements. - Collaborate closely with clients to comprehend their technical needs and business objectives, providing expert advice on software solutions and best practices. - Provide guidance and mentorship to junior developers, assisting with code reviews, troubleshooting, and fostering a culture of technical excellence. - Work with project managers, business analysts, and other engineers to ensure technical milestones are achieved and client expectations are satisfied. - Ensure software quality through testing, code optimization, and identifying potential issues before deployment. - Stay updated with industry trends, new technologies, and best practices to enhance development processes and software quality. Qualifications Required: - 3-5 years of work experience in data engineering with expertise in Azure technologies, including Azure Data Factory, Azure Databricks, Azure Synapse, Fabric. - Understanding of Agile engineering practices and deep familiarity with data warehouse and lakehouse methodologies, data ETL/ELT processes, data profiling, anomaly detection, data modeling (Dimensional/Kimball), and SQL. - Strong background in relational database platforms and experience with DevOps/Continuous integration & continuous delivery. - Excellent verbal and written communication skills for client interaction. - Ability to work independently and proactively drive projects to completion with minimal direction. Additional Company Details: The company prefers candidates with availability during US ET and CT time zones, with a shift from 2:00 pm IST to 11:00 pm IST being acceptable for independent workers. Location: India - Bengaluru,

As a Snowflake Data Architect at Aezion, Inc., your role will involve designing and implementing scalable data pipelines, integrating diverse data sources, and building a robust data warehouse to support business intelligence and analytics initiatives. Your key responsibilities will include: - Developing and maintaining ETL/ELT pipelines using Airbyte and Airflow. - Extracting data from multiple sources such as APIs, direct database connections, and flat files. - Ensuring data quality, consistency, and reliability across all ingestion processes. - Designing and implementing Kimball-style dimensional models in Snowflake. - Building and optimizing fact tables and dimension tables to support analytical workloads. - Collaborating with business teams to define and maintain the BUS Matrix for subject areas. - Using DBT to develop modular, testable, and version-controlled transformations. - Implementing data quality checks and documentation within DBT workflows. - Working closely with business stakeholders to understand requirements and translate them into technical solutions. - Ensuring compliance with data governance, security, and privacy standards. To be successful in this role, you will need the following skills and qualifications: - Strong proficiency in Snowflake architecture and performance tuning. - Hands-on experience with DBT, Airbyte, and Airflow. - Solid understanding of Kimball methodology for data warehousing. - Advanced SQL skills and familiarity with Python for ETL scripting. - Experience integrating data from APIs and relational databases. - Excellent communication and collaboration skills. - Ability to work in an agile environment and manage multiple priorities. Join Aezion, Inc. as a Snowflake Data Architect and be part of a leading custom software provider committed to transforming clients into lifelong partners through result-driven work.,

In this role as a Senior Data Platform Consultant at Snap Analytics, you will play a crucial part in the growth of the Service Excellence division by leading strategic service delivery, shaping capability direction, and mentoring across the business. Your role will involve ensuring platforms deliver consistent value through proactive optimization, enhancements, and strategic client engagement. **Key Responsibilities:** - Lead customer engagements and ensure process adherence - Mentor and guide consultants across multiple teams - Manage service delivery tasks across large-scale or multi-team projects - Perform hands-on development using tools like Snowflake and Matillion - Drive documentation and knowledge sharing across the team - Support long-term client relationships with a focus on continuous improvement and strategic alignment **Qualifications Required:** - 10+ years of professional experience in data engineering for analytics - Proven experience leading large-scale service delivery and client strategy - Strong knowledge of cloud data warehousing (preferably in Snowflake) - Hands-on experience with ETL processes and tools (preferably Matillion) - Familiarity with ticketing tools like ServiceNow, Jira, and an ITIL certification (preferred) - Expertise in data modeling (Kimball methodology) and warehousing concepts - A strategic, mentoring mindset and dedication to capability growth In the first 36 months, success in this role might involve influencing client roadmaps and strategic direction, driving systemic performance improvements, and establishing cross-team documentation and redundancy plans to ensure seamless support. Snap Analytics is a high-growth data analytics consultancy specializing in cloud analytics solutions. With a customer-first approach, the company partners with leading brands worldwide to modernize their data platforms using technologies like Snowflake, Databricks, and Matillion. The culture at Snap Analytics is centered around collaboration, continuous learning, and pushing boundaries to tackle complex data challenges. If you are someone with strategic leadership, deep technical expertise, and a growth mindset, and if you are comfortable working in a fast-paced, client-facing environment, then this Senior Data Platform Consultant role at Snap Analytics might be the perfect fit for you. Join the team and be a part of shaping the future of data analytics!,

As a Data Architect at Diageo, you will play a key role in transforming business capabilities by leveraging data and digital technology. Your responsibilities will include: - Proficiency in the overall IT landscape and technologies, with the ability to analyze how different technologies integrate. - Working experience in data modeling using Kimball methodologies, Schema design (Star schema, Snowflake schema), and Data Architectures (Vault, Mesh, etc.). - Experience with enterprise data management, Data-warehouse, Data modeling, Business Intelligence, and Data integration. - Strong capabilities to review data models for completeness, quality, and compliance with established architecture standards. - Ability to compare tools and technologies and recommend the most suitable option. - Solid grasp in metadata (business, technical & operational) maintenance and exposure to data catalog management. Preferred qualifications for this role include: - Experience in Databricks Lakehouse architecture with proficiency in using Azure Databricks. - Experience working on File formats such as Parquet, ORC, AVRO, Delta, Hudi, etc. - Exposure to using CI/CD tools like Azure DevOps. - Experience and knowledge of Azure data offerings. About Diageo: Diageo is the world's leading premium drinks company with an exceptional collection of brands like Johnnie Walker, Smirnoff, Baileys, Captain Morgan, Tanqueray, and Guinness. Our global network of ambitious individuals works together to connect customers and consumers to our iconic products, creating innovative experiences that celebrate life. Please note that the additional details of the company were not provided in the job description.,

As an Engineer at Eaton India Innovation Center, Center for Secure Cyber-physical Systems, located in Magarpatta City, Pune, you will be joining the team responsible for Eatons Foreseer product. **Role Overview:** - You will be working in the Software Domain and must possess a strong passion for it. - It is essential for you to uphold ethical values with transparency in your work. - Quick learning ability and adaptability to new technical domains are key traits for this role. - You will be expected to lead the team from the front and take accountability for assigned charters that align with the overall goals of software, web, desktop, and database technologies and solutions. - Quality should be a top priority for you, along with a commitment to meeting deadlines consistently. **Key Responsibilities:** - Design, optimize, and maintain large-scale, high-performance data solutions. - Collaborate closely with cross-functional teams to transform raw data into actionable business insights. - Drive continuous improvements in data quality, performance, and architecture. - Mentor others and foster a culture of innovation and excellence. - Deliver robust and scalable solutions to enable data-driven decision-making. **Qualifications Required:** - Bachelors Degree in Computer Science/Software Engineering/Information Technology/Electronics Engineering from an accredited institution. - Preferred - Masters Degree in Computer Science/Software Engineering from an accredited institution. - 8 to 12 years of hands-on experience with at least one of the following systems: Greenplum, Oracle, SQL Server, PostgreSQL, or Click House. - Familiarity with data processing tools such as Python Pandas, SQL Alchemy, or Polars. - Advanced SQL skills for working with relational databases, including performance tuning and troubleshooting. **Skills Required:** - Proficiency in SQL performance tuning and issue resolution. - Extensive experience in processing large-scale and complex big data environments. - Proficient in resolving ETL performance issues in Linux environments. - Strong understanding of star schema, snowflake schema, and Kimball data modeling methodologies. - Experience in data quality management for the data warehouse. - Collaboration with the Algorithm team on data engineering and data science algorithm development. - Work closely with the Product team to design effective data fulfillment solutions. - Continuous enhancement and improvement of the existing Business Analysis Module. - Delivering forward-thinking database code that is high quality, performant, maintainable, and extensible. - Self-learning capabilities to master cutting-edge machine learning, business intelligence, and database technologies. **Good to have:** - Proven expertise in ETL performance optimization and efficient data ingestion. - Familiarity with at least one business intelligence or data visualization platform such as Power BI, Superset, or Tabular. As an Engineer at Eaton India Innovation Center, Center for Secure Cyber-physical Systems, located in Magarpatta City, Pune, you will be joining the team responsible for Eatons Foreseer product. **Role Overview:** - You will be working in the Software Domain and must possess a strong passion for it. - It is essential for you to uphold ethical values with transparency in your work. - Quick learning ability and adaptability to new technical domains are key traits for this role. - You will be expected to lead the team from the front and take accountability for assigned charters that align with the overall goals of software, web, desktop, and database technologies and solutions. - Quality should be a top priority for you, along with a commitment to meeting deadlines consistently. **Key Responsibilities:** - Design, optimize, and maintain large-scale, high-performance data solutions. - Collaborate closely with cross-functional teams to transform raw data into actionable business insights. - Drive continuous improvements in data quality, performance, and architecture. - Mentor others and foster a culture of innovation and excellence. - Deliver robust and scalable solutions to enable data-driven decision-making. **Qualifications Required:** - Bachelors Degree in Computer Science/Software Engineering/Information Technology/Electronics Engineering from an accredited institution. - Preferred - Masters Degree in Computer Science/Software Engineering from an accredited institution. - 8 to 12 years of hands-on experience with at least one of the following systems: Greenplum, Oracle, SQL Server, PostgreSQL, or Click House. - Familiarity with data processing tools such as Python Pandas, SQL Alchemy, or Polars. - Advanced SQL skills for working with relational databases, including performance tuning and troubleshooting. **Skills Required:** - Proficiency in SQL performance tuning and issue resolution. - Extensive experience in processing large-scale and complex big data environments. - Proficient in resolving ETL

As a Sales Executive at Toyota Showroom in Malegaon, your main responsibility will be to sell new cars to customers. Your work schedule will be full-time and permanent with day shifts. Fluency in English is preferred to effectively communicate with customers. Key Responsibilities: - Sell new cars to customers - Meet sales targets - Provide excellent customer service - Maintain knowledge of latest car models and features Qualifications Required: - Graduation in any field - At least 1 year of experience in selling cars Please note that health insurance and provident fund benefits are provided. The work location is in person at the Toyota Showroom in Malegaon. If interested, you can contact the employer at +91 9607999323.,

As a Data Architect at LSEG, you will play a crucial role in supporting Finance, Compliance, and Risk programs by delivering a comprehensive data strategy to meet Transformation targets. Your primary responsibilities will include: - Building, maintaining, and communicating data models and data flows for Corporate engineering, ensuring alignment with CRM, Finance, Compliance, and Risk dependencies - Supporting the development of a Data Governance strategy based on Enterprise Data policies, Control, Regulatory requirements, and industry standards - Defining and developing Conceptual Data models in collaboration with Business, Change, and Tech Partners - Developing logical and physical data models, establishing clear relationships and dependencies between them - Designing functionality to manage data integration, migration, archiving, and duplicate data - Profiling and analyzing large volumes of historical data to support data lifecycle activities - Aligning technology data concepts with business outcomes and processes - Formulating test scenarios, testing data models/transformation logic, generating status reports, and running sign-off sessions with senior program managers - Building a Data Quality and exception management framework including functionalities for data correction, manual uploads, etc. The skills required for this role include: - Background and experience as a data architect or senior data modeller for data platforms or solutions - Previous experience in delivering strategic data solutions against Customer, Finance, compliance, or Risk requirements in banking, financial services, or similar regulated organizations - Solid understanding of Data Governance and Data Management concepts, including metadata management, master data management, and data quality - Experience in delivering end-to-end operating models and frameworks - Knowledge of data warehousing concepts and methodologies, including Kimball and Data Vault 2.0 - Proficiency in SQL, with hands-on experience in SQL joins and query writing - Flexibility, adaptability, problem-solving skills, and strong verbal and written communication abilities In addition to the specific job responsibilities and required skills, it is important to note that LSEG is a leading global financial markets infrastructure and data provider. Their purpose is to drive financial stability, empower economies, and enable sustainable growth. At LSEG, you will be part of a diverse workforce where individuality is valued, new ideas are encouraged, and sustainability is a priority. The company is committed to re-engineering the financial ecosystem to support sustainable economic growth and aims to achieve this by accelerating the transition to net zero, promoting the green economy, and creating inclusive economic opportunities.,

As a Logistics Operations Leader for a cluster of bioenergy plants, your role involves optimizing operations to ensure the efficient, cost-effective, and timely movement of feedstock and CNG/CBG across the supply chain. **Key Responsibilities:** - Managing inbound and outbound movements of feedstock and CNG/CBG - Working towards value maximization, cost optimization, and finalizing freight agreements - Overseeing transportation, warehousing, and inventory flow - Appointing vendors and defining freight requirements - Coordinating with procurement, production, and sales teams - Ensuring compliance with regulatory and safety standards - Developing and implementing logistics strategies - Managing vendor relationships and logistics contracts **Key Requirements:** - Bachelor's degree in Engineering, MBA, Supply Chain, or a related field - 7-20 years of experience in logistics, preferably in the energy/biofuels industry - Strong leadership, analytical, and communication skills *Location: Malegaon, Akola, Nanded Yavatmal, MH*,

As an experienced Database Developer, you will be responsible for the following: - Creating PL/SQL functions, stored procedures, packages, views, triggers, collections, and utilizing complex querying techniques - Implementing query optimization and performance tuning techniques, as well as working on indexes - Demonstrating real-life troubleshooting skills - Handling ETL processes using Oracle custom scripts or ETL tools - Utilizing Unix commands and scripting for at least 1 year - Demonstrating flexibility to work with various RDBMS database technologies like MSFT or Oracle - Having a strong understanding of RDBMS constructs and CAP Theory - Explaining redo and rollback functionalities in RDBMS - Designing for performance with different types of data stores such as OLTP and OLAP - Understanding and discussing the Bill Inmon Vs Ralph Kimball school of thoughts in data warehouse constructs - Articulating the pros and cons of various data modeling design principles like Canonical data model, ER model, Star schema, Data lake, etc. Qualifications required for this role: - Minimum 5+ years of hands-on experience in PL/SQL development - Minimum 3 years of experience in ETL processes - Minimum 1 year of experience with Unix commands and scripting - Knowledge of Agile techniques is highly desirable - Experience with NoSQL databases like HBase, Cassandra, MongoDB is a plus Please note: This job opportunity is available in Chennai, Pune, Bangalore, and Mumbai.,

As a Quality Engineer, you will be responsible for ensuring the quality of products by conducting inspections and testing throughout the manufacturing process. Your expertise in machining processes, documentation, and process improvement techniques will be crucial for this role. Key Responsibilities: - Conduct visual and physical inspections of raw materials, in-process parts, and finished products to ensure they meet specifications and quality standards. - Record all inspection findings, test results, and defect reports in a clear, organized manner. - Identify defective products or materials and initiate non-conformance reports. - Notify supervisors of quality issues and collaborate with production and engineering teams to resolve problems and implement corrective actions. - Monitor automated inspection systems and ensure quality control procedures are followed throughout the manufacturing process. - Maintain detailed records of inspections, audits, and corrective actions taken. Qualifications Required: - 13 years of experience in quality inspection. - Diploma in Mechanical Engineering (DME) or Bachelor of Engineering (BE). As a part of our team, you will play a key role in maintaining the quality standards of our products. This is a full-time, permanent position located in Malegaon, Sinnar, Nashik Maharashtra.,

As a Snowflake Data Engineer at Aezion, Inc., your role will involve designing and implementing scalable data pipelines, integrating diverse data sources, and building a robust data warehouse to support business intelligence and analytics initiatives. Key Responsibilities: - Develop and maintain ETL/ELT pipelines using Airbyte and Airflow. - Extract data from multiple sources such as APIs, direct database connections, and flat files. - Ensure data quality, consistency, and reliability throughout all ingestion processes. - Design and implement Kimball-style dimensional models in Snowflake. - Build and optimize fact tables and dimension tables to support analytical workloads. - Collaborate with business teams to define and maintain the BUS Matrix for subject areas. - Use DBT to develop modular, testable, and version-controlled transformations. - Implement data quality checks and documentation within DBT workflows. - Work closely with business stakeholders to understand requirements and translate them into technical solutions. - Ensure compliance with data governance, security, and privacy standards. Required Skills & Qualifications: - Strong proficiency in Snowflake architecture and performance tuning. - Hands-on experience with DBT, Airbyte, and Airflow. - Solid understanding of Kimball methodology for data warehousing. - Advanced SQL skills and familiarity with Python for ETL scripting. - Experience integrating data from APIs and relational databases. - Excellent communication and collaboration skills. - Ability to work in an agile environment and manage multiple priorities.,