Veracity Software Inc
Overview
SQL Developer
Jersey City, NJ (Hybrid). Look for local candidates only. Must have banking domain experience. Responsibilities
Work closely with technical leads and Product Owners to deliver support data, analytics, and reporting functionalities in the GWD platform. Hands-on application development to support current and target processes across the SDLC design, build, test, deploy, and support. Technical Expertise
Significant 8-10 years of experience in Microsoft SQL programming and development, including SSMS, SSRS, SSAS, and Cube (Star Schema). 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 Scala, PySpark, or SparkSQL. Experience with deep data analysis, triaging, identifying data gaps, patterns, and behaviors to support enhancements and user requests. Experience working with large data sets (up to 100 million records) and optimizing performance for scalability. Experience 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 database changes. Stay current with industry trends and emerging technologies in 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 (8-10+ years) in data architecture, database design, or data engineering roles with a focus on big data. Experience with large-scale data projects, preferably within the financial services industry.
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SQL Developer
Jersey City, NJ (Hybrid). Look for local candidates only. Must have banking domain experience. Responsibilities
Work closely with technical leads and Product Owners to deliver support data, analytics, and reporting functionalities in the GWD platform. Hands-on application development to support current and target processes across the SDLC design, build, test, deploy, and support. Technical Expertise
Significant 8-10 years of experience in Microsoft SQL programming and development, including SSMS, SSRS, SSAS, and Cube (Star Schema). 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 Scala, PySpark, or SparkSQL. Experience with deep data analysis, triaging, identifying data gaps, patterns, and behaviors to support enhancements and user requests. Experience working with large data sets (up to 100 million records) and optimizing performance for scalability. Experience 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 database changes. Stay current with industry trends and emerging technologies in 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 (8-10+ years) in data architecture, database design, or data engineering roles with a focus on big data. Experience with large-scale data projects, preferably within the financial services industry.
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