Mahindra & Mahindra—Senior Data Engineer

Job description

Description: Responsibilities & Key Deliverables "-The candidate is responsible for designing, creating, deploying, and maintaining an organization's data architecture. -To ensure that the organization's data assets are managed effectively and efficiently, and that they are used to support the organization's goals and objectives. -Responsible for ensuring that the organization's data is secure, and that appropriate data governance policies and procedures are in place to protect the organization's dataassets.Responsible for designing and implementing a data architecture that supports the organization's business goals and objectives. -Developing data models, defining data standards and guidelines, and establishing processes for data integration, migration, and management. -Lead and mentor a team of data engineers in the design and development of datapipelines, ETL processes, and data integration solution -Create and maintain data dictionaries, which are a comprehensive set of datadefinitions and metadata that provide context and understanding of the organization's data assets. -Architect and optimize data storage and retrieval systems for large-scale dataprocessing -Manage and prioritize projects, allocate resources, and track progress to meet project goals and deadlines. -Work closely with other IT professionals, including database administrators, dataanalysts, and developers, to ensure that the organization's data architecture is integrated and aligned with other IT systems and applications. -Stay up to date with new technologies and trends in data management and architecture and evaluate their potential impact on the organization's data architecture. -Communicate with stakeholders across the organization to understand their data needs and ensure that the organization's data architecture is aligned with the organization's strategic goals and objectives Experience 5-8 years Industry Preferred Agri, Farm, Auto Qualifications Bachelor's degree in: - Computer Science - Information Technology - Data Science - Engineering (any relevant discipline) Preferred: - Master's degree in Computer Science, Data Science, Information Systems, or related field. - Certifications in Cloud Platforms (Azure, AWS, GCP), Databricks, Snowflake, or Data Engineering. General Requirements Experience in Data Architecture and Engineering, Google Cloud, Spark, Machine Learning, Big query, SQL and Python Our commitment to Diversity, Equity, and Inclusion