Sr.Database administrator

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 5–8 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.

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.
• 5–8 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 as MongoDB, Cassandra, or CosmosDB.
• Hands-on experience with at least one of the following cloud data warehouses: Snowflake, Redshift, BigQuery, or Microsoft Fabric.
• Cloud expertise – Strong experience with Azure and its data services.
• Working knowledge of Python for scripting and data processing (e.g., Pandas, PySpark).
• Experience with ETL tools such 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.