Job
Description
This role is for one of the Weekday's clients Min Experience: 4 years Location: Ahmedabad JobType: full-time We are seeking a highly skilled Senior Database Administrator with 58 years of experience in data engineering and database management. The ideal candidate will have a strong foundation in data architecture, modeling, and pipeline orchestration. Hands-on experience with modern database technologies and exposure to generative AI tools in production environments will be a significant advantage. This role involves leading efforts to streamline data workflows, improve automation, and deliver high-impact insights across the organization. Requirements Key Responsibilities: Design, develop, and manage scalable and efficient data pipelines (ETL/ELT) across multiple database systems. Architect and maintain high-availability, secure, and scalable data storage solutions. Utilize generative AI tools to automate data workflows and enhance system capabilities. Collaborate with engineering, analytics, and data science teams to fulfill data requirements and optimize data delivery. Implement and monitor data quality standards, governance practices, and compliance protocols. Document data architectures, systems, and processes for transparency and maintainability. Apply data modeling best practices to support optimal storage and querying performance. Continuously research and integrate emerging technologies to advance the data infrastructure. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or related field. 58 years of experience in database administration and data engineering for large-scale systems. Proven experience in designing and managing relational and non-relational databases. Mandatory Skills: SQL Proficient in advanced queries, performance tuning, and database management. NoSQL Experience with at least one NoSQL database such asMongoDB,Cassandra, orCosmosDB. Hands-on experience with at least one of the following cloud data warehouses:Snowflake,Redshift,BigQuery, orMicrosoft Fabric. Cloud expertise Strong experience withAzureand its data services. Working knowledge ofPythonfor scripting and data processing (e.g., Pandas, PySpark). Experience withETL toolssuch as Apache Airflow, Microsoft Fabric, Informatica, or Talend. Familiarity with generative AI tools and their integration into data pipelines. Preferred Skills & Competencies: Deep understanding of database performance, tuning, backup, recovery, and security. Strong knowledge of data governance, data quality management, and metadata handling. Experience with Git or other version control systems. Familiarity with AI/ML-driven data solutions is a plus. Excellent problem-solving skills and the ability to resolve complex database issues. Strong communication skills to collaborate with cross-functional teams and stakeholders. Demonstrated ability to manage projects and mentor junior team members. Passion for staying updated with the latest trends and best practices in database and data engineering technologies.
