Data Engineering (Capital Markets)

Danta Technologies

$120K — $145K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering or related field.
  • Strong expertise in Snowflake, Python, and Oracle PL/SQL.
  • Experience with data modeling, performance optimization, and cost management in Snowflake.
  • Advanced proficiency in Python for automation and data processing.
  • Experience using at least one enterprise BI or reporting tool.
  • Proven leadership skills with team management experience.
  • Strong skills in customer interaction and stakeholder management.

Responsibilities

  • Design, develop, and optimize data solutions using Snowflake and Python.
  • Create and maintain reports and dashboards using BI tools.
  • Lead end-to-end project deliverables for quality and timeliness.
  • Drive governance meetings and manage stakeholder communication.
  • Ensure on-time completion of project tasks with high-quality standards.
  • Provide technical mentorship and review designs and code.
  • Engage with customers to translate business needs into technical solutions.

Benefits

  • Competitive pay structure for all W2 employees.
  • Option for healthcare insurance including Dental, Medical, and Vision.
  • Paid time off for major holidays and sick leave as per state law.
Full Job Description
Note:
This position is based in Jersey City, NJ and requires a minimum of 3 days per week working from the office.

Client Note:
Need someone who can manage offshore/ Global teams.
Exceptional communication skills needed.
Strong hands-on role; capital markets experience is needed; if not, strong hands-on experience with banking will also do.
Who has recent experience in projects involving automation/ moving data from Oracle to Snowflake using Python

Job Description
We are seeking an experienced professional with strong expertise in Snowflake, Python, Oracle PL/SQL, and reporting/BI tools to deliver scalable data solutions and lead project execution, with proven delivery experience across Capital Markets corporate functions, securities, and front-to-back-office (not mandatory)

Key Responsibilities:
  • Design, develop, and optimize data solutions using Snowflake, Python, and Oracle PL/SQL.
  • Develop and maintain reports and dashboards using standard BI/reporting tools to support business decision-making.
  • Lead end-to-end project deliverables, ensuring quality, timeliness, and alignment with customer requirements.
  • Drive and manage weekly and monthly governance calls, including status reporting, risk management, and stakeholder communication.
  • Ensure all project tasks and milestones are completed on time with high quality standards.
  • Provide technical leadership and mentorship to the team, reviewing designs and code to ensure best practices.
  • Engage directly with customers to understand business needs, translate them into technical solutions, and manage ongoing interactions.
  • Collaborate with cross-functional teams to ensure smooth delivery and adoption of solutions.
  • Apply Generative AI concepts and tools where relevant to enhance data engineering, analytics, automation, and productivity use cases.
  • Continuously identify opportunities for process improvement, automation, and innovation.
Required Skills and Experience:
  • Who has recent experience in projects involving automation/ moving data from Oracle to Snowflake using Python
  • Technical: Snowflake, Oracle Pl/SQL, DBT, Python, any BI reporting tool
  • Strong hands-on experience with Snowflake, including data modeling, performance optimization, and cost management.
  • Advanced proficiency in Python for data processing, automation, and integration.
  • Solid experience in Oracle PL/SQL, including complex queries, procedures, and performance tuning.
  • Experience with at least one enterprise reporting or BI tool.
  • Proven leadership skills with experience leading teams and owning project delivery.
  • Strong customer interaction and stakeholder management skills.
  • Experience driving governance forums and executive-level status reviews.
  • Exposure to Generative AI, including use cases, tools, or solution implementation, is highly desirable.
  • This role requires a strong balance of technical depth, leadership capability, and customer-facing skills to successfully deliver high-impact data and analytics solutions.


Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

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