Data Integration Engineer — Cloud, Data Lakes & Finance

Synechron; New York (NY); In loco; USD 120.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Global offices &海外 opportunities

Generous leave policies

Comprehensive health & retirement plan

Extensive training & Udemy access

Descrizione del lavoro

Synechron is seeking a skilled Data Integration Engineer in New York with strong data modeling and financial data structures. You will work on reference data, security master data, and transactional trade data within large-scale data platforms.

The role involves building batch and streaming pipelines, leveraging SQL, Python, Spark, and cloud technologies (AWS), and ensuring data quality and governance. You will collaborate with global teams across FinLabs and CoEs, contribute to data lakehouse

Competenze

• Understanding of post-trade data flows including allocations, confirmations, settlement, risk, finance, and regulatory reporting.
• Knowledge of securities data modeling and financial data structures.
• Experience with reference data, security master data, and transactional trade data.
• Understanding of time-series data management and financial market data is a strong plus.

Mansioni

• Understanding of post-trade data flows including allocations, confirmations, settlement, risk, finance, and regulatory reporting.
• Knowledge of securities data modeling and financial data structures. Experience with reference data, security master data, and transactional trade data.
• Understanding of time-series data management and financial market data is a strong plus.
• Strong SQL development skills with experience designing and optimizing relational data models and database schemas.
• Proficiency in Python, including data processing frameworks such as Pandas and PySpark.
• Strong understanding of data warehouse, data lake, and Data Lakehouse concepts.
• Experience working with large-scale transactional and analytical data platforms.
• Experience with PostgreSQL, SQL Server, Snowflake, Redshift, Databricks, or similar database and data warehouse technologies on cloud, preferably AWS.
• Experience with stream and batch data processing technologies such as Kafka, Spark, Flink, or similar platforms.
• Experience building batch and streaming data pipelines, including ETL/ELT workflows, using Python and SQL.
• Strong understanding of data quality, data lineage, data validation, and reconciliation processes.
• Experience working with messaging technologies such as Kafka, RabbitMQ, IBM MQ, or similar platforms.
• Familiarity with monitoring and observability tools such as Datadog, Prometheus, and Grafana.
• Understanding of data security, privacy, and regulatory compliance requirements.
• Exposure to data science, machine learning, and AI/GenAI data preparation concepts is a-plus.

Conoscenze

SQL

Python

Data modeling

Big data

Spark

Strumenti

PostgreSQL

SQL Server

Snowflake

Redshift

Databricks

AWS

Kafka

Pandas

PySpark

Descrizione del lavoro

Synechron is seeking a skilled Data Integration Engineer in New York with strong data modeling and financial data structures. You will work on reference data, security master data, and transactional trade data within large-scale data platforms.

The role involves building batch and streaming pipelines, leveraging SQL, Python, Spark, and cloud technologies (AWS), and ensuring data quality and governance. You will collaborate with global teams across FinLabs and CoEs, contribute to data lakehouse