Role Overview
BlackRock features an opening for an Associate - Data Platform Engineer within the Aladdin Data group in Mumbai, Maharashtra, India (Hybrid: 4 days in-office / 1 day remote). In this core platform engineering role, you will design, build, test, deploy, and maintain foundational framework components for the Enterprise Data Platform (EDP). Leveraging advanced Python, Snowflake, Apache Airflow, and dbt, you will automate enterprise-grade data pipelines, enhance data ingestion and quality frameworks, optimize platform scalability and query performance, and deliver technical support across global investment and risk operations powered by Aladdin.
Core Responsibilities
- EDP Framework Engineering: Design, build, and optimize scalable framework components across the Enterprise Data Platform (EDP) covering acquisition, ingestion, processing, orchestration, and data quality (DQ) checks.
- Data Pipeline Automation: Develop resilient, automated data pipelines using Apache Airflow, Snowflake, Python, and dbt to process and transform large-scale financial datasets.
- System Optimization: Conduct deep performance tuning, stored procedure optimization, and resource profiling across Snowflake and cloud storage environments.
- Streaming & Event Ingestion: Support and integrate real-time streaming architectures and messaging systems (such as Snowpipe Streaming and Apache Kafka) into ingestion pipelines.
- Release Validation & Quality: Author and execute comprehensive end-to-end integration test suites to ensure operational stability following release deployments.
- Production Operations & Support: Provide L2/L3 technical escalation support, lead root cause investigations (RCAs) for data incidents, and implement permanent operational fixes.
- Agile Collaboration: Participate actively in sprint ceremonies, backlog estimations, and technical discussions using tools like Azure DevOps (ADO) and Aha!.
Qualifications & Requirements
- Educational Background: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
- Professional Experience: 5+ years of dedicated professional experience as a Data Engineer building production data platforms and pipelines.
- Programming & Querying: Advanced-level Python programming expertise combined with expert SQL skills (including stored procedures, CTEs, and UDFs).
- Data Warehousing & Modeling: Strong hands-on experience using Snowflake or equivalent cloud-native data warehouses alongside declarative modeling tools like dbt.
- Pipeline Orchestration & Cloud: Demonstrated proficiency with Apache Airflow for DAG scheduling and workflows, coupled with experience in Microsoft Azure services (specifically ADLS).
- Streaming Exposure (Preferred): Hands-on familiarity with real-time streaming technologies such as Apache Kafka, event brokers, or Snowpipe Streaming.
- Workplace Model: Commitment to BlackRock’s hybrid work policy, working on-site at least 4 days per week at the Mumbai office.
About BlackRock
BlackRock is a global investment management and technology provider dedicated to helping more people experience financial well-being. Central to BlackRock's mission is Aladdin, an end-to-end investment and risk operations platform that integrates sophisticated risk analytics with portfolio management, trading, and enterprise operations worldwide.