Bachelor's or master's degree in computer science, Information Technology, or a related field.
Minimum 8-10 years in data architecture, database design, or data engineering, focusing on big data systems.
Banking domain experience is essential, particularly in large-scale data projects.
Advanced proficiency in Microsoft SQL and tools like SSMS, SSRS, SSAS, and Star Schema CUBE.
Experience with technologies such as Airflow, Hadoop, Spark, Hive, Kafka, and Snowflake.
Responsibilities
Collaborate with technical leads and Product Owners to implement data analytics and reporting functionalities.
Develop hands-on application support throughout the SDLC, including design, build, test, and deployment.
Lead the migration of legacy databases to high-performance data platforms.
Design and manage data pipelines for scalable ingestion and analysis of large datasets.
Ensure data integrity, security, and performance in modernized database environments.
Communicate complex data concepts to technical and non-technical stakeholders.
Provide technical support and guidance during the implementation of database changes.
Benefits
Hybrid work model allows some flexibility in work location.
Opportunity to work in an innovative finance technology environment.
Engagement with cutting-edge technologies in big data.
Collaboration with cross-functional teams to shape enterprise data strategies.
Continuous learning opportunities in rapidly evolving tech landscapes.
Full Job Description
SQL Developer Location: Jersey City, NJ (Hybrid)- Look for local candidates only Must have: Banking domain exp.
Description:
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.
Technical Expertise:
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.
Qualifications:
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.
