Data Quality Jobs in Bangalore

Vehicle Performance Test Engineer

RLE India Private Limited•

Remote

•full time

Job Summary We are seeking a highly motivated and experienced Vehicle Performance Test Engineer to join our team. This role will focus on conducting and analyzing vehicle performance tests, ensuring the quality and performance of our vehicles. Key Responsibilities The Vehicle Performance Test Engineer will be responsible for planning, executing, and documenting vehicle performance tests. This includes conducting various tests related to fuel economy, emissions, vehicle drivability, and transmission performance. The engineer will also be responsible for analyzing test data, identifying areas for improvement, and collaborating with engineering teams to implement solutions. Required Skills & Qualifications Bachelor’s degree in mechanical or Automobile Engineering. 6-8 years of experience in vehicle performance testing. This level of experience indicates a seasoned professional capable of independently planning and executing complex test programs, analyzing results, and contributing to vehicle development. Analytical Skills: Demonstrated ability to analyze complex data and draw meaningful conclusions. Problem-Solving Skills: Proven ability to identify and resolve technical issues related to vehicle performance. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely communicate technical information to both technical and non-technical audiences. Teamwork: Ability to work effectively as part of a team, collaborating with engineers and other stakeholders to achieve common goals. Data Analysis: Proficiency in data analysis techniques and methodologies. Excel: Advanced proficiency in Excel for data manipulation, analysis, and reporting. MDA: Experience with MDA (Motor Development Analyzer) for vehicle performance analysis. Power BI: Experience using Power BI for data visualization and reporting. Google Slides and Google Sheets: Proficiency in using Google Slides and Google Sheets for presentations and data management. PowerPoint: Proficiency in using PowerPoint for presentations. Vehicle Testing: Comprehensive understanding of vehicle testing methodologies and procedures. DVP Tests: Experience with DVP (Development Verification Plan) tests. Vehicle Coast Down: Expertise in conducting and analyzing Vehicle Coast Down tests. Fuel Economy: Deep understanding of Fuel Economy testing and analysis. Gradeability: Experience in evaluating Gradeability performance. Emission Testing: Knowledge of Emission Testing procedures and regulations. TA & COP: Familiarity with TA & COP (Transmission Application and Calibration Optimization Process). Subjective Assessment: Ability to conduct and interpret Subjective Assessment of vehicle performance. Vehicle Drivability: Experience in evaluating Vehicle Drivability characteristics. Gear Shift Quality: Ability to assess and analyze Gear Shift Quality . Manual Transmission: Understanding of Manual Transmission systems and testing. Automatic Transmission: Understanding of Automatic Transmission systems and testing. Benchmark Vehicle Testing: Experience in conducting Benchmark Vehicle Testing . Root Cause Analysis: Ability to perform Root Cause Analysis to identify and resolve performance issues. Benchmarking: Experience in conducting Benchmarking studies. Data Seeking: Ability to effectively Data Seeking to support analysis and decision-making. Technical Discussions: Ability to participate in and lead Technical Discussions . Calibration: Experience with vehicle Calibration processes. Application Management: Experience in Application Management related to vehicle testing. V Box: Experience using V Box for vehicle performance measurement. Ipetronic: Experience using Ipetronic for engine testing and analysis. L350 Aqua Sensor: Experience using L350 Aqua Sensor for environmental testing. CAN Analyser: Experience using CAN Analyser for vehicle communication analysis. DFL: Familiarity with DFL (Data Flash Loader). INCA: Experience using INCA (IN Control) for ECU calibration and diagnostics. ETAS: Familiarity with ETAS (Electrical Transport and Automotive Systems) products and technologies. 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