Data Warehousing Job Vacancies in Coimbatore

About KenverseKenverse is a leading technology company building transformative SaaS solutions for the enterprise and education sectors. We are seeking a versatile expert to drive data insights and seamless system connectivity.The RoleWe are hiring a Senior Analyst/Consultant to join our team in one of three locations. This role is a specialized blend of analytics and integration, critical to our data strategy.Detail SpecificationExperience: 3 to 7 YearsCompensation: Up to 35 Lakhs per annumLocation: Kolkata, Bangalore, CoimbatoreWork Mode: Work from Office (WFO)Education: BCA, BBA, BSc, B.Tech/BE (Any Field)Key Skills RequiredYou must have hands-on, proven expertise in all three areas:1. Tableau Development: Designing and optimizing high-impact data visualization dashboards and reports.2. CRM Analytics Expert: Analyzing customer data, performing segmentation, and driving insights for sales/marketing strategies.3. MuleSoft: Developing and deploying API-led integration solutions using the Anypoint Platform to ensure robust system connectivity.How to ApplyInterested candidates, please send your resume immediately.WhatsApp: 8013914799LinkedIn: Send your resume via my inbox.

Job Title: Data EngineerLocation: Coimbatore (work from office)Exp: 7-12YrsNp: Immediate to 15 DaysSkills: ETL, Sql, Hadoop, Spark, Data warehousing, Scripting language, cloud.Responsibilities:Design, develop, and maintain data pipelines, ETL processes, and data integration workflows to ensure efficient and reliable data extraction, transformation, and loading.Collaborate with cross-functional teams to gather requirements and understand data needs, and translate them into scalable and robust data solutions.Implement and maintain data warehousing systems and structures, ensuring data quality, integrity, and security.Develop and optimize SQL queries, stored procedures, and functions for data retrieval, manipulation, and analysis.Perform data profiling, data cleansing, and data transformation activities to ensure data accuracy and consistency.Identify and troubleshoot data-related issues, and provide timely resolutions to minimize impact on business operations.Collaborate with data scientists and analysts to understand data requirements and support their data exploration and analysis efforts.Requirements:Expertise in ETL (Extract, Transform, Load) processes, tools, and best practices.Strong proficiency in SQL and relational databases, with the ability to design, optimize, and maintain complex SQL queries, stored procedures, and functions. In-depth understanding of data warehousing concepts, methodologies, and best practices.Experience with data modelling, data integration, and data pipeline development.Familiarity with data governance, data quality, and data security principles.Solid understanding of data management principles and practices, including data profiling, data cleansing, and data transformation.Proficient in programming languages such as Python, Java, or Scala.Experience with cloud-based data technologies, such as AWS Redshift, Google BigQuery, or Azure SQL Data Warehouse.Experience with big data technologies, such as Hadoop or Spark

Senior Data Engineer:10+yrsNP immediate preferred, max 1monthCoimbatore Location (Work From Office Only)Given Budget 15 to 20LPAKey Accountabilities:Design, develop, implement, and support data management solutions.Develop, maintain, test, and evaluate large-scale data processing solutions (in both batch and real-time modes).Ongoing development and support of the data infrastructure (Cloud Platform, Data Lakehouse andDashboards)Provide expertise and practical support in developing data platform solutions.Implement ETL processes/pipelines, using CI/CD processes.Support the development and implementation of Solution Design (developing/ systemintegration/pre-production/ production /support).Mandatory Skills:Solid exposure in end-to-end implementation of data solutions using AWS (including S3, Lambda,Database Migration Service, Glue , Kinesis , Step Function, Athena), PySpark and SQL.Experience in spatial, semi-structured, and unstructured data manipulation.Strong proven experience working as a Data Engineer leading with complex environments.Good understanding on Data Modelling / Data warehousing. Experienced in Entity RelationshipModelling.Experience with designing, building, operating, and deploying scalable data pipelines.Experience with CI/CD tools: Github Actions or JenkinsOptimize data pipelines and processes for efficiency, scalability, and cost-effectiveness in the AWSenvironment.Ensure data security, encryption, and compliance with data governance policies and industryregulations.Nice to have:AWS Experience (Sagemaker, EMR, Quicksight)Data Bricks / SnowflakeAzureGCP

Good Knowledge of Data warehousing concepts(CDC, SCDs)Exposure to azure DatabricksExposure of Python & Spark SQLGood in SQLWorked on at least 2 - EDW/ Data Migration / Data Integration Projects-- >Overall 3-4 Years