Data Engineer - DataOps & Automation | Multinational Automotive Giant | 5-7 Years

Job Description

Description

Responsibilities:1)Maintain, support, and enhance the business intelligence data backend, including data lakes, Kafka integrations, Jira and Jenkins pipelines that this team works on.-Performs needed assessments-Implement frameworks and structures for data warehouse and lake/repository.-Manage cloud and/or on-premises solutions for data transfer and storage.-Establish data structures for all enterprise data stored in business intelligence systems.-Go to person for AWS AMI management, pipeline stability and upkeeping of it.-Participate in new tools evaluation, implementation of it within the Data Lake environment or in the ecosystem.-Oversee and ensure that new systems implemented at the enterprise level follow data quality guidelines.2)Keeps abreast of new business intelligence technologies; makes periodic recommendations for overall improvements3)Partner with DevOps organization 4)Terraform-For constant monitoring of the cloud infrastructure of D&A team.-Implement best practices, optimization changes suggested -Support the CI/CD pipelines that are leveraged by D&A team.-Build deployment automations and integrate with Jira for smooth releases. -Personally responsible for release management within the D&A organization that happen in agile methodology. 5)Maintain, support, and enhance the business intelligence data backend, including data warehouses and data lakes.-Performs needed assessments-Implement data transformations and data structures for data warehouse and lake/repository.-Manage cloud and/or on-premises solutions for data transfer and storage.-Establish data structures for all enterprise data stored in business intelligence systems.6)Collaborate and work with data analysts in various functions to ensure that data meets their reporting and analysis needs.-Establish interfaces between the data warehouse and reporting tools, such as PowerBI.-Assist data analysts with connecting reporting and analytics software to data warehouses, lakes, and other data sources.-Manage access and permissions to data.7)Provide technical guidance for design and implementation of data governance systems and policy.-Work with the data governance team to manage an enterprise wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools, and data architecture.-Monitor data quality, identify data quality issues, oversee remediation plans, implementation of data controls, and manage data quality remediation strategies. Define data quality strategy and participate in a data quality working group.-Oversee and ensure that new systems implemented at the enterprise level follow data quality guidelines.8)Keeps abreast of new business intelligence technologies; makes periodic recommendations for overall improvementsQualifications:Bachelor’s Degree in STEM disciplines plus at least 5-7 years of experience managing data warehouse and/or business intelligence systems. An advanced degree or certifications in a related field is a plus.Knowledge, Skills & Abilities:-Demonstrated experience with setting up data structures (tables and views) for use with modern analytics software/tools.-Expertise with Snowflake Data Warehouse, Amazon Web Services, SQL-based database systems, and/or other enterprise data warehouse solutions.-Experience working with integration tools such as APIs, Web Services, JDBC/ODBC connectors, and other integration technologies.-Experience working with programming languages used in ETL and/or ELT environments, such as SQL and Python.-Extensive experience in terraform, ansible, JIRA, Jenkins and prior working knowledge of automation framework in a cloud infrastructure (public preferably) will be a big plus.

 
 
 
Apply

There is something wrong with this job ad? Report the error



Related Ads