Data Engineering, Associate at BlackRock

Bengaluru, Karnataka, India

BlackRock Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries

Requirements

  • 5 to 8 years of experience in data engineering, with a focus on building data pipelines and Data Services APIs
  • Strong server-side programming skills in Python and/or Java
  • Experience working with backend microservices and APIs using Java and/or Python
  • Experience with Apache Airflow or any other orchestration framework for data orchestration
  • Proficiency in DBT for data transformation and modeling
  • Experience with data quality validation tools like Great Expectations or any other similar tools
  • Strong SQL skills and experience with relational databases like SQL Server, PostgreSQL
  • Experience with cloud-based data warehouse platform like Snowflake
  • Experience working on NoSQL databases like Elasticsearch and MongoDB
  • Experience working with container orchestration platform like Kubernetes on AWS and/or Azure cloud environments
  • Experience on Cloud platforms like AWS and/or Azure
  • Ability to work collaboratively in a team environment
  • Detail oriented, passion to learn new technologies, good analytical and problem-solving skills
  • Effective communication skills, both written and verbal
  • Bachelor’s or Master’s degree in computer science, Engineering, or a related field
  • Experience with Financial Services application (plus)

Responsibilities

  • Design, develop, and maintain data pipelines using Aladdin Data Enterprise Data Platform framework
  • Develop ETL/ELT data pipelines using Python, SQL and deploy them as containerized apps on a Kubernetes cluster
  • Develop API for data distribution on top of the standard data model of the Enterprise Data Platform
  • Design and develop optimized back-end services in Java / Python for APIs to handle faster data retrieval and optimized processing
  • Develop reusable back-end services for data pipeline processing in Python / Java
  • Develop data transformation using DBT (Data Build Tool) with SQL or Python
  • Ensure data quality and integrity through automated testing and validation using tools like Great Expectations
  • Implement all observability requirements in the data pipeline
  • Optimize data workflows for performance and scalability
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution
  • Document data engineering processes and best practices whenever required

Skills

Python
Java
Apache Airflow
DBT
Great Expectations
Apache Spark
MongoDB
Elasticsearch
Snowflake
PostgreSQL
SQL
Kubernetes
ETL
ELT
APIs

BlackRock

About BlackRock

New York City, New YorkHeadquarters
1988Year Founded
$78,647.7MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries

Benefits

Health Insurance
Unlimited Paid Time Off
Mental Health Support
Wellness Program
401(k) Retirement Plan

Risks

FDIC scrutiny could lead to regulatory challenges for BlackRock.
Workforce reduction may indicate internal financial pressures or strategic shifts.
Involvement in Yangzijiang Shipbuilding exposes BlackRock to geopolitical risks.

Differentiation

BlackRock's Bitcoin ETF, IBIT, reached over $50 billion in assets quickly.
The firm is developing a layer-2 tokenized real-world asset platform on Ethereum.
BlackRock's partnership with Frax Finance enhances its stablecoin market presence.

Upsides

IBIT's success attracts a broader range of cryptocurrency investors.
The Ethereum platform positions BlackRock as a leader in blockchain financial services.
Partnership with Frax Finance enhances digital finance offerings and compliance.

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