Associate

Experience Required

Two (2) years

Minimum Education Required

Bachelor's degree

Compensation

$147,500.00 - $148,000.00 / Yearly

Hours Per Week

40

Number Of Positions

1

Job Description

Employer: BlackRock Financial Management, Inc.

Job Title: Associate

SOC Code Job Title: 15-1252 – Software Developers

Location: 1 University Square Drive, Princeton, NJ 8540

Wage Range: $147,500 - $148,000

Job Duties:

BlackRock Financial Management, Inc. is hiring a(n) Associate (ref. Code R266151 in Princeton, NJ).

Duties: Drive the architectural design, development, and implementation of mission-critical enterprise big data operational platforms and data migration initiatives. Leverage cloud-native solutions to enable advanced data analysis and generative AI outcomes, driving optimization across the investment product sales lifecycle. Architect and execute comprehensive end-to-end platform migration strategies for legacy Apache Hadoop/Apache Hive distributed data processing systems to modern cloud-native architectures utilizing Databricks Lakehouse Platform, Apache Airflow orchestration, and Snowflake cloud data warehouse. Design and implement comprehensive self-service data pipeline frameworks having complex data transformation logic converting MapReduce paradigms and Hive Query Language (HiveQL) operations to Apache Spark 3.x DataFrame API and PySpark distributed computing frameworks. Develop automated, event-driven and optimized Apache Airflow Directed Acyclic Graph (DAG) workflows supporting diverse data ingestion and transformation of structured and semi-structured formats. Integrating comprehensive data quality validation python frameworks (Great Expectations) with automated checks for completeness, accuracy, consistency, uniqueness, timeliness, and validity constraints through configurable business rules. Develop complex data transformation models leveraging Data Build Tool (DBT) python frameworks to ensure scale and efficient data outcomes with lineage. Design and implement RESTful API endpoints utilizing Swagger and OpenAPI specifications developing backend services that accept CSV, XML, JSON, and Microsoft Excel file uploads with intelligent parsing algorithms transforming diverse formats into standardized JSON representations. Configure ingestion schedules and monitor pipeline execution status via telemetry frameworks. Engineer and optimize a scalable Snowflake ecosystem by implementing sophisticated data modeling, rigorous security controls, and advanced performance tuning, while pioneering the use of advanced AI and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features. Build and manage high-performance ETL and ELT pipelines using Delta Live Tables (DLT), leveraging its native automation for orchestration, data transformation, and quality validation. Managing Databricks notebooks and job configurations as code through Git integration, ensuring stable production deployments. Partner with data scientists, business analysts, product managers, and executive stakeholders to translate complex business requirements into technical data platform capabilities, conduct technical design reviews, architecture discussions, and knowledge transfer sessions with engineering teams, provide production support for data pipeline failures performing root cause analysis and implementing preventive measures, participate in agile development ceremonies.

REQUIREMENTS: Employer will accept a Bachelor’s degree in Computer Science, Engineering or a related field and two (2) years of experience in the job offered or as Data Engineer, or a related role. Must have two (2) years of experience with: Python and Scala programming skills in Core Python and PySpark, including creating and supporting UDFs and modules including PyTest; Building and optimizing Big Data pipelines, architectures and data sets using Hadoop, Spark and HIVE; Data pipeline and workflow management tools including Airflow and DBT Kafka; Developing on Spark in a production environment including parallel execution, deciding resources and different modes of executing jobs; Using Hive, Yarn and Sqoop for bucketing, portioning, tuning and handling different file formats including ORC, PARQUET and AVRO; Transact SQL, No-SQL and GraphQL; Snowflake and Pandas; Deployment, maintenance and administrative tasks related to Cloud, OpenStack, Docker, Kafka and Kubernetes; Cloud technologies including Azure and AWS; Databricks; JSON, XML and Unstructured data; and Open API and Swagger.

Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

To apply, please send resume to the following email address View email address on click.appcast.io & include include the Ref code number: R266151 in the subject line of the email.

Place of Work

On-site

Requisition ID

R266151

Job Type

Full Time

Application Email

View email address on click.appcast.io