Data Validation Jobs in Bangalore

Thermal performance Engineer

RLE India Private Limited•

Pune

•full time

Job Summary SENIOR EXECUTIVE - TARLE TECHNOLOGIES PRIVATE LIMITED is seeking a highly motivated and experienced professional to join our team. This role is within the Automotive industry and requires a strong background in mechanical or automotive engineering principles. We are looking for a candidate with a proven track record of success in managing and executing complex engineering projects. Key Responsibilities The Senior Executive will be responsible for overseeing and contributing to various aspects of project performance engineering, ensuring the successful delivery of projects within the Automotive domain. This includes coordinating efforts across multiple functional teams and providing regular reporting on project status and performance. Required Skills & Qualifications Education: A Bachelor’s or Master’s degree in the Mechanical or Automotive domain is required. Experience: A minimum of 8-12 years of relevant experience is expected. This seniority level requires a candidate capable of independent project management, mentoring junior engineers, and contributing to strategic decision-making. Project Performance Engineering: Demonstrated ability to analyze and improve project performance, identifying and implementing strategies to optimize efficiency and effectiveness. Functional Synthesis: Proficiency in synthesizing information from various functional areas to create a cohesive and integrated approach to problem-solving. Cross-Functional Coordination: Excellent ability to facilitate collaboration and communication across different teams and departments, ensuring alignment and shared goals. Validation Planning: Experience in developing and executing comprehensive validation plans to ensure product quality and reliability. Test-Data Synthesis: Ability to generate and analyze test data to identify potential issues and validate design solutions. Management Reporting: Strong skills in preparing and presenting clear and concise management reports on project status, risks, and performance. Aerothermal Validation: Knowledge and experience in validating aerothermal performance of automotive components and systems. HVAC Testing: Experience in conducting and analyzing HVAC (Heating, Ventilation, and Air Conditioning) testing for automotive applications. Thermal Performance: Understanding of thermal performance principles and their application to automotive design and testing. CAD Review: Ability to review and analyze CAD (Computer-Aided Design) models to identify potential design flaws or areas for improvement. CFD/1D Simulation Review: Experience in reviewing and interpreting results from Computational Fluid Dynamics (CFD) and 1D simulation models. DVP: Familiarity with Design Verification Plan (DVP) processes and methodologies. Vehicle Instrumentation: Knowledge of vehicle instrumentation systems and their role in data acquisition and analysis. Road Trip Testing: Experience in planning and executing road trip testing to evaluate vehicle performance under real-world conditions. Lab Testing: Proficiency in conducting and analyzing lab testing to evaluate component and system performance. Data Analysis: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Scorecard: Experience in developing and utilizing scorecards to track and measure project performance. PLM: Familiarity with Product Lifecycle Management ( PLM ) systems and their role in managing product data and processes. Microsoft Suite: Proficient in using Microsoft Suite applications, including PowerPoint , Excel (including Macro capabilities), and Word . Power BI: Experience using Power BI for data visualization and reporting. Analytical Skills: Demonstrated ability to analyze complex problems and develop effective solutions. Problem-Solving Skills: Strong problem-solving skills with the ability to identify root causes and implement corrective actions. Communication Skills: Excellent written and verbal communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Leadership: Demonstrated leadership skills with the ability to motivate and inspire teams. Networking Abilities: Ability to build and maintain strong relationships with internal and external stakeholders. What We Offer Salary:

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA