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Data Engineering, Associate
at
BlackRock
Bengaluru, Karnataka, India
Apply Now
Not Specified
Compensation
Senior (5 to 8 years)
Experience Level
Full Time
Job Type
Unknown
Visa
Financial Services
Industries
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
Website
About BlackRock
New York City, New York
Headquarters
1988
Year Founded
$78,647.7M
Total Funding
IPO
Company Stage
Fintech, Financial Services
Industries
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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