SQL Developer
20 hours ago
Overview
We are seeking a dynamic and detail-oriented SQL Developer to join our innovative data team. In this role, you will be instrumental in designing, developing, and maintaining robust data solutions that empower data-driven decision-making across the organization. Your expertise will help optimize our data architecture, streamline ETL processes, and enhance our analytics capabilities using cutting-edge technologies. If you thrive in a fast-paced environment and are passionate about transforming complex data into actionable insights, this opportunity is perfect for you
Responsibilities
- Design, develop, and optimize SQL queries, stored procedures, and database schemas to support business intelligence and analytics initiatives.
- Build and maintain scalable data pipelines using ETL tools such as Informatica, Talend, or custom scripting with Python and Bash (Unix shell).
- Collaborate with cross-functional teams to understand data requirements and translate them into efficient database solutions within cloud environments like AWS, Azure Data Lake, or Hadoop ecosystems.
- Implement data models and database designs for data warehouses utilizing Microsoft SQL Server, Oracle, or Apache Hive to ensure high performance and data integrity.
- Develop dashboards and reports using Looker or other visualization tools to provide real-time insights for stakeholders.
- Integrate linked data sources and manage big data platforms such as Spark, Hadoop, or Apache Hive for large-scale analysis.
- Support model training and analysis activities by providing clean, well-structured datasets and performing complex queries to uncover trends and patterns.
Qualifications
- Proven experience with SQL development in relational databases such as Microsoft SQL Server or Oracle.
- Strong knowledge of ETL processes, including tools like Talend or Informatica, along with scripting skills in Python, VBA, Bash (Unix shell), or Shell Scripting.
- Familiarity with cloud platforms such as AWS (Amazon Web Services), Azure Data Lake, or similar big data environments like Hadoop or Spark.
- Hands-on experience working with big data technologies including Apache Hive, Hadoop ecosystem components, and Spark for large-scale processing.
- Understanding of data warehouse architecture principles and database design best practices.
- Knowledge of RESTful API integration for data exchange between systems.
- Analytical mindset with excellent problem-solving skills to interpret complex datasets effectively.
- Experience working within Agile development methodologies to ensure iterative progress and continuous improvement. Join us to leverage your expertise in SQL development while working on innovative projects that shape the future of data analytics
Job Type: Full-time
Pay: $70,000.00-$120,000.00 per year
Work Location: In person
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