Data Operations Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 1 Year(s)
No Travel Required

Skills

Data
ingestion
ELT
reporting
Data Operations and delivery
PL/SQL
Investments and capital markets domain ( MUST)
cycle works
securities
Mutual Funds
ETFs
including data ingestion
ELT pipelines
investment
capital markets domains.
and the trade lifecycle
data ingestion
PL/SQL queries
engineering teams to meet delivery SLAs.
trades
ETFs.
data integrity across systems.
financial instruments including securities
Investments and capital markets domain.
Data Operations
Data Engineering
or related roles.
PL/SQL and data manipulation techniques.
rade life cycle works
data ingestion frameworks

Job Details

Data Operations Engineer 12 YEARS

Location/ Work Mode: Hybrid Manhattan, NY 3 days from Office.

Job Type: Contract

Duration : 6 months subject to extension

Interview Process-- Recruitment Prescreening- 20 minutes intro videocall, Technical 30 -45 minutes video call, Customer call 45- 60 minutes video call.

Project Starting :- The moment we have a qualified profile. .

  • We are seeking hands-on experience in handling Data, ingestion, ELT, reporting
  • Data Operations and delivery
  • Good experience with PL/SQL
  • Good exposure to Investments and capital markets domain ( MUST)
  • Understanding of how trade life cycle works, securities, Mutual Funds, ETFs

Job Description

Role

Data Operations Engineer

Employment Type: Contract

Contract 6 months Duration

Work location / Work Mode

NY Manhattan , 3 days working from office Hybrid

About the Role

Trianz is looking for a DataOps Engineer with experience in managing end-to-end data workflows, including data ingestion, ELT pipelines, and reporting operations. This role will play a critical part in ensuring seamless data delivery and operational efficiency across various systems, particularly within investment and capital markets domains.

The ideal candidate should have strong hands-on experience with PL/SQL and a solid understanding of financial instruments including securities, mutual funds, ETFs, and the trade lifecycle. A background in data operations, monitoring, and troubleshooting in a high-volume, regulated environment is key to success in this role.

Job Responsibilities

  • Oversee and maintain data ingestion, ELT, and transformation pipelines.
  • Ensure timely and accurate data delivery to downstream systems and reporting platforms.
  • Monitor data jobs and troubleshoot operational issues related to batch and real-time processes.
  • Write and optimize PL/SQL queries and stored procedures for data extraction and transformation.
  • Collaborate with business stakeholders, data analysts, and engineering teams to meet delivery SLAs.
  • Apply domain knowledge to ensure accurate handling of financial data related to trades, securities, mutual funds, and ETFs.
  • Support data quality initiatives and implement controls to ensure data integrity across systems.

Required Education

Masters or Engineering degree

Required Experience

  • 12 plus years of experience in development and with 5+ plus of years of experience in financial instruments including securities, mutual funds, Investments and capital markets domain.
  • 7+ years of experience in Data Operations, Data Engineering, or related roles.
  • Strong hands-on experience with PL/SQL and data manipulation techniques.
  • Solid knowledge of investment management, capital markets, and the trade lifecycle. Understanding of how trade life cycle works, securities, Mutual Funds, ETFs
  • Experience with data ingestion frameworks, ELT pipelines, and reporting solutions.
  • Familiarity with financial data structures and regulatory/reporting requirements.
  • Excellent problem-solving skills and the ability to work in a fast-paced, hybrid environment.

Work-shift Timings (If required)

  • 9 to 5 PM EST

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