SQL Developer

• Enterprise Finance Technology GWD Technology team is working on and implementing innovative solutions to improve forecasting processes and support operational excellence.
• This role will be responsible for working closely with the technical leads and Product Owners to deliver support data, analytics and reporting functionalities in the GWD platform.
• This right candidate will be responsible for hands-on application development to support the current and target process across the SDLC - design, build, test, deploy support.

• Significant 8-10 years of experience in Microsoft SQL programming and development, including SSMS, SSRS, SSAS, and CUBE (Star Schema).
• Ability to design, lead and implement migration of legacy database tech to scalable, high-performance data platforms using technologies such as Airflow, Hadoop, Spark, Hive, Kafka, and Snowflake.
• Programming skills in languages like Scala/ Pyspark/SparkSQL.
• Experience in deep data analysis, triaging, identifying data gaps, patterns, and behaviors to support enhancements and user requests.
• Experience working with large data sets (~100 million records) and optimizing performance for scalability.
• Expertise in developing and managing data pipelines for ingesting, processing, and analyzing large volumes of data from various sources.
• Ensure data integrity, security, and performance in modernized database environments.
• Collaborate with cross-functional teams to align with enterprise data strategy and understand business requirements.
• Communicate complex data concepts and architectural designs to both technical and non-technical audiences.
• Provide technical guidance and support to development teams during the implementation of database changes.
• Stay current with industry trends and emerging technologies in both traditional databases and big data.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Leadership and team collaboration skills.
• Strategic thinking and business acumen.
• Ability to adapt to changing technology landscapes and continuous learning., * Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
• Extensive experience (minimum 8-10 years) in data architecture, database design, or data engineering roles, with a focus on big data.
• Experience working with large-scale data projects, preferably within the financial services industry.