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BlackRock

Senior Python Engineer, Enterprise Data Platform - Vice President

Posted 2 Days Ago
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In-Office
Mumbai, Maharashtra
Senior level
In-Office
Mumbai, Maharashtra
Senior level
The role involves designing and building ETL frameworks, improving data processing capabilities, and supporting data operations at BlackRock. Candidates will work on the Enterprise Data Platform with a focus on automation and performance.
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About this role

About Enterprise Data Platform (EDP)

Data is at the heart of Aladdin and increasingly the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. The EDP team is responsible for the data ecosystem within BlackRock with a mission to build a centrally managed unified platform that takes care off end-to-end firm wide data needs. Our goal is to build and maintain a leading-edge data platform that provides highly available, consistent data of the highest quality for all users of the platform, notably investors, operations teams, and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin data.

About this role

As a Senior Data Engineer at BlackRock, you will get experience working at one of the most recognized financial companies in the world while being part of a team responsible for building Enrichment Services for the next generation Enterprise Data platform (EDP), which is designed to automate data acquisition, ingestion, transformation, and distribution processes to handle enterprise-wide data processing capabilities. You will partner with data and analytics experts to deliver high quality data analytical solutions to our consumers. Your role will be to build and provide technical solutions to deliver robust and scalable Data Platform services which enable resolution, adjustment and distribution of EDP data to downstream investment platforms.

Candidates are expected to have deep understanding of core ETL components. This role is responsible for embodying engineering best-practices as a habit.   Also responsible for ensuring long-term sustainability and scalability of work.

Senior Data engineers are expected to work in the areas of building frameworks for ETL/ELT use cases and metadata driven data pipeline processing engines with cloud native service expertise. We are looking for candidates who like to innovate and resolve complex data problems.

Responsibilities:

Senior Data engineer is expected to be engaged from inception of projects, understand requirements, design architecture, develop, deploy, and maintain ETL / ELT framework. The goal is to increase the automation of data pipelines, support both internal and external teams to leverage the reusable ETL components and adopt to the standards of modern data platform while constantly working towards enhancing the enabling core ETL framework with new features and improving platform performance and scalability.

  • Design and hands-on contribute to the development life cycle and maintain Data Platform Enrichment Services ETL framework, acquisition framework, workflow orchestration for data pipelines, including participation in tactical projects and strategic programs.
  • Generate ideas for designing and building data engineering solutions using standard frameworks.
  • Explore/Adopt new tools and technologies to enhance capabilities for the frameworks.
  • Work with program managers, product teams and data stewards throughout the SDLC cycle.
  • Build and conduct end-to-end tests to ensure production operations run successfully after every release cycle.
  • Provide technical expertise to the development teams and establish strong bonds with technologists outside the team.
  • Ability to coordinate and collaborate with engineers within and outside the team.
  • Identify communication needs and ensure smooth flow of information within the organization.
  • Provide L2 or L3 support for technical and/or operational issues.
  • Ability to demonstrate deep understanding of ETL/ELT core components.
  • Ability to design and build ETL solutions which are performant, consistent, and scalable.
  • Take responsibility for work beyond assigned tasks. Take emotional ownership of projects.
  • Address issues promptly and transparently.
  • Participate in technology initiatives outside the direct team purview

Required Experience:

  • At least 8+ years experience as a Python developer in the data engineering space
  • ETL/ELT Framework design and Workflow Orchestrations
  • Experience with object-oriented design patterns
  • Experience with ETL Performance Tuning
  • Experience in SQL, PL/SQL programming, Stored procedures, UDFs
  • Experience with Agile development concepts and related tools
  • Experience conducting root cause analysis and solve issues.
  • Excellent written and verbal communication skills.
  • Ability to operate in a fast-paced environment.
  • Strong interpersonal skills with a can-do attitude under challenging circumstances
  • BS equivalent degree

Desired Qualifications:

  • Experience with Snowflake, SnowPipe, Snowpark, MS SQLServer
  • Exposure with Workflow management tools such as Airflow
  • ETL tools like DBT
  • Experience in Azure Cloud Native services
  • Exposure to real time streaming platforms such as Kafka
  • Bachelor’s degree in computer science is preferred.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation, and other protected characteristics at law.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Top Skills

Airflow
Azure Cloud
Dbt
Kafka
Ms Sqlserver
Pl/Sql
Python
Snowflake
Snowpark
Snowpipe
SQL

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