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Data Engineer
Bengaluru
Job No. atci-4393431-s1767390
Full-time
Job Description
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Splunk
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : Minimum 15 years of fulltime education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Design and develop data solutions for data generation, collection, and processing. - Create and maintain data pipelines to ensure efficient data flow. - Implement ETL processes to extract, transform, and load data across systems. - Ensure data quality and integrity by performing data cleaning and validation. - Optimize data infrastructure to support the organization's data needs. - Collaborate with cross-functional teams to understand data requirements and provide technical expertise. - Troubleshoot and resolve data-related issues in a timely manner. Professional & Technical Skills: - Must To Have Skills: Proficiency in Splunk. - Strong understanding of data engineering concepts and best practices. - Experience with data modeling and database design. - Knowledge of ETL tools and techniques. - Familiarity with cloud platforms such as AWS or Azure. - Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI. - Solid grasp of SQL and scripting languages like Python or R. - Hands-on experience with big data technologies like Hadoop or Spark. Additional Information: - The candidate should have a minimum of 3 years of experience in Splunk. - This position is based at our Bengaluru office. - A minimum of 15 years of full-time education is required.
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Splunk
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : Minimum 15 years of fulltime education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Design and develop data solutions for data generation, collection, and processing. - Create and maintain data pipelines to ensure efficient data flow. - Implement ETL processes to extract, transform, and load data across systems. - Ensure data quality and integrity by performing data cleaning and validation. - Optimize data infrastructure to support the organization's data needs. - Collaborate with cross-functional teams to understand data requirements and provide technical expertise. - Troubleshoot and resolve data-related issues in a timely manner. Professional & Technical Skills: - Must To Have Skills: Proficiency in Splunk. - Strong understanding of data engineering concepts and best practices. - Experience with data modeling and database design. - Knowledge of ETL tools and techniques. - Familiarity with cloud platforms such as AWS or Azure. - Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI. - Solid grasp of SQL and scripting languages like Python or R. - Hands-on experience with big data technologies like Hadoop or Spark. Additional Information: - The candidate should have a minimum of 3 years of experience in Splunk. - This position is based at our Bengaluru office. - A minimum of 15 years of full-time education is required.
Qualifications
Minimum 15 years of fulltime education
Please be informed that at any given point in time, you can only have one "Active" application.
Please be informed that at any given point in time, you can only have one "Active" application.
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