Job
Description
Job Summary Job Summary: We are looking for an experienced Senior Software Engineer with deep expertise in Spark SQL / SQL development to lead the design, development, and optimization of complex database systems. As a Senior Spark SQL/SQL Developer, you will play a key role in creating and maintaining high performance, scalable database solutions that meet business requirements and support critical applications. You will collaborate with engineering teams, mentor junior developers, and drive improvements in database architecture and performance. Key Responsibilities: Design, develop, and optimize complex Spark SQL / SQL queries, stored procedures, views, and triggers for high performance systems. Lead the design and implementation of scalable database architectures to meet business needs. Perform advanced query optimization and troubleshooting to ensure database performance, efficiency, and reliability. Mentor junior developers and provide guidance on best practices for SQL development, performance tuning, and database design. Collaborate with cross functional teams, including software engineers, product managers, and system architects, to understand requirements and deliver robust database solutions. Conduct code reviews to ensure code quality, performance standards, and compliance with database design principles. Develop and implement strategies for data security, backup, disaster recovery, and high availability. Monitor and maintain database performance, ensuring minimal downtime and optimal resource utilization. Contribute to long term technical strategies for database management and integration with other systems. Write and maintain comprehensive documentation on database systems, queries, and architecture. Required Skills & Qualifications :-- Experience: 7+ years of hands on experience in SQL Developer / data engineering or a related field. Expert level proficiency in Spark SQL and extensive experience with Bigdata (Hive), MPP (Teradata), relational databases such as SQL Server, MySQL, or Oracle. ¿ Strong experience in database design, optimization, and troubleshooting. Deep knowledge of query optimization, indexing, and performance tuning techniques. Strong understanding of database architecture, scalability, and high availability strategies. Experience with large scale, high transaction databases and data warehousing. Strong problem solving skills with the ability to analyze complex data issues and provide effective solutions. Data testing and data reconciliation Ability to mentor and guide junior developers and promote best practices in SQL development. Proficiency in database migration, version control, and integration with applications. Excellent communication and collaboration skills, with the ability to interact with both technical and non technical stakeholders. Preferred Qualifications: Experience with NoSQL databases (e.g., MongoDB, Cassandra) and cloud based databases (e.g., AWS RDS, Azure SQL Database). Familiarity with data analytics, ETL processes, and data pipelines. Experience in automation tools, CI/CD pipelines, and agile methodologies. Familiarity with programming languages such as Python, Java, or C#. Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
