Hi,
Hope you are doing good,
Role: Snowflake AWS Data Engineer with PL/SQL, Python, Oracle and Capital market Experience
Job Location:- Jersey City, NJ ( Day 1 Onsite- Candidate needs to work 5 Days at the Client Office)
Duration: 12+ Months Contract
Job Location:- Jersey City, NJ ( Day 1 Onsite- Candidate needs to work 5 Days at the Client Office)
Duration: 12+ Months Contract
Note:- Please look for the Local Candidates or nearby Cities, Candidates will have in-Person Interview at the Client Office. Please set the Expectation with the Candidates before Submission
Plan is to move from Oracle to Board tool. understand cubes- Need to know Data integration who can pick up board platform-Qlik & Sigma
Mandatory Skill Sets:-
• Snowflake ,AWS, PL/SQL or SQL
• Python Cloud Capabilities
• Oracle
• Qlik
• Sigma
Key Responsibilities:
• Develop, optimize, and maintain PL/SQL scripts to support data processing needs and ensure data integrity within our Capital Markets systems.
• Utilize Python for data manipulation, automation, and building data pipelines.
• Work closely with business stakeholders to gather requirements and translate them into technical specifications.
• Collaborate with cross-functional teams to design, implement, and deliver software solutions that enhance Capital Markets operations.
• Diagnose and troubleshoot technical issues in a timely manner.
• Participate in code reviews and contribute to the continuous improvement of development processes.
• Keep up-to-date with industry best practices regarding database management, programming, and Capital Markets trends.
the key skills being prioritizing are:
• Snowflake Data Engineering
• Strong PL/SQL
• Python
• 10+ years of hands-on experience in PL/SQL development, including data modeling, stored procedures, and triggers.
• Strong proficiency in Python, including libraries such as Pandas, NumPy, or similar data manipulation libraries.
• Proven experience in Capital Markets, with a solid understanding of financial products, processes, and data flows.
• Strong analytical and problem-solving skills.
• Familiarity with data visualization tools and techniques is a plus (e.g., Tableau, Power BI).
• Excellent communication skills, both verbal and written, with the ability to collaborate effectively across teams.
• Oracle Database, SQL, ETL processes, data warehousing, or data architecture.
• Knowledge of Agile methodologies and development practices.
Plan is to move from Oracle to Board tool. understand cubes- Need to know Data integration who can pick up board platform-Qlik & Sigma
Mandatory Skill Sets:-
• Snowflake ,AWS, PL/SQL or SQL
• Python Cloud Capabilities
• Oracle
• Qlik
• Sigma
Key Responsibilities:
• Develop, optimize, and maintain PL/SQL scripts to support data processing needs and ensure data integrity within our Capital Markets systems.
• Utilize Python for data manipulation, automation, and building data pipelines.
• Work closely with business stakeholders to gather requirements and translate them into technical specifications.
• Collaborate with cross-functional teams to design, implement, and deliver software solutions that enhance Capital Markets operations.
• Diagnose and troubleshoot technical issues in a timely manner.
• Participate in code reviews and contribute to the continuous improvement of development processes.
• Keep up-to-date with industry best practices regarding database management, programming, and Capital Markets trends.
the key skills being prioritizing are:
• Snowflake Data Engineering
• Strong PL/SQL
• Python
• 10+ years of hands-on experience in PL/SQL development, including data modeling, stored procedures, and triggers.
• Strong proficiency in Python, including libraries such as Pandas, NumPy, or similar data manipulation libraries.
• Proven experience in Capital Markets, with a solid understanding of financial products, processes, and data flows.
• Strong analytical and problem-solving skills.
• Familiarity with data visualization tools and techniques is a plus (e.g., Tableau, Power BI).
• Excellent communication skills, both verbal and written, with the ability to collaborate effectively across teams.
• Oracle Database, SQL, ETL processes, data warehousing, or data architecture.
• Knowledge of Agile methodologies and development practices.
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