Data Engineer Female 12th Pass Jobs in Coimbatore

We are looking for 999 Data Engineer Posts in Coimbatore with deep knowledge in Data Engineering and Required Educational Qualification is : 12th Pass, 10th Pass;

Strong experience with Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.Proficiency in ETL processes, data pipeline design, and automation within the Azure ecosystem.Experience with big data technologies such as Apache Spark, Hadoop, Azure HDInsight, and Databricks.Solid understanding of data modeling, data warehousing concepts, and relational and non-relational databases.Strong knowledge of SQL and experience with scripting languages like Python, R, or Scala.Experience with Azure Storage services, such as Blob Storage, Data Lake Storage, and Azure Cosmos DB.Familiarity with Data Governance, Data Lineage, and Data Security practices in the cloud.Hands-on experience with Azure DevOps for CI/CD pipeline management, version control, and deployment automation.Familiarity with Azure Active Directory (AAD) and role-based access control (RBAC) for managing permissions and security.Experience with RESTful APIs and integrating with third-party systems for data ingestion and export.Strong problem-solving and analytical skills, with the ability to work with large datasets and derive actionable insights.Ability to collaborate effectively with stakeholders and communicate complex data engineering concepts in simple terms.Preferred Qualifications:Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert.Experience with real-time data processing using Azure Stream Analytics or Apache Kafka.Knowledge of machine learning and AI concepts for data-driven decision-making.Familiarity with Power BI or other reporting tools for data visualization.Experience with Agile methodologies in a data engineering environment.

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

Hiring for 17 Data Analyst Fresher / Date Science Engineer/ IT Company Jobs in Coimbatore, Tamil Nadu,Vijayawada, Andhra Pradesh,Tirupati, Andhra Pradesh,Hyderabad, Telangana,Kochi, Kerala,Ernakulam, Kerala,Lucknow, Uttar Pradesh,Puducherry, Pondicherry,Mumbai, Maharashtra,Data Scientist,Data Analyst,fresher,Python Trainer,SQL Data Base Administrator, for Freshers,Required Educational Qualification is : Secondary School, Diploma, Advanced/Higher Diploma, Professional Degree, Other Bachelor Degree, B.A, B.Arch, B.C.A, B.B.A with Good knowledge in Data Scientist,Data Analyst,fresher,Python Trainer,SQL Data Base Administrator etc. Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary