Data Engineer , Aladdin Data - Associate

MU8-South (A) Wing, 7-10 Floor, Nesco IT Park Tower 4, Western Express Highway, Mumbai, India

BlackRock

Seit über 30 Jahren arbeitet BlackRock daran, die Wirtschaft zu stärken und Anlegern zu ihren finanziellen Zielen zu verhelfen.

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About this role

BlackRock is one of the world’s leading asset management firms and Aladdin® is the firm’s an end-to-end operating system for investment professionals to see their whole portfolio, understand risk exposure, and act with precision. Aladdin is the central nervous system powering the investment decisions of both the firm and its clients; a $1bn technology business that has significant growth aspirations over the next five years. Our mission is to deliver critical insights to our stakeholders, enabling them to make data-driven decisions. The Observability Analytics Engineering team plays a pivotal role in ensuring the reliability, performance, and quality of our data platforms and products.

Job Summary:

We are seeking a highly motivated and experienced Data Observability Analytics Engineering Manager to lead our team in developing and maintaining robust data observability solutions. The ideal candidate will possess a strong technical background, excellent leadership skills, and a deep understanding of data engineering and analytics principles. You will be responsible for managing a team of engineers, driving projects, and ensuring the delivery of high-quality data observability tools and reports.

Primary Responsibilities:

  • Lead, mentor, and develop a team of Observability Analytics Engineers
  • Manage multiple projects simultaneously, ensuring timely delivery and adherence to quality standards.
  • Work closely with internal stakeholders to understand their observability needs
  • Leverage Agile methodologies in data-related projects, ensuring continuous delivery and collaborative, and iterative improvements
  • Design, develop, and maintain BI solutions, crafting compelling reports, visualizations, and interactive dashboards
  • Manage and optimize the performance of our data platforms
  • Proactively identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • Minimum of 5 years of experience in data engineering or analytics
  • Excellent leadership, communication, and problem-solving skills
  • Proficiency in data processing and analysis tools (Spark, Flink, or Snowflake)
  • Intermediate -to- advanced SQL knowledge
  • Working knowledge of data modeling and warehousing best practices
  • Proficiency in BI tools such as Tableau, PowerBI, Snowflake, and Splunk

Preferred but not required:

  • Hands-on experience with Aladdin platform data production would be a significant advantage
  • Experience with programming language such as Python, Java, and/or JavaScript

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Computer Science Engineering Finance Flink Java JavaScript Power BI Python Snowflake Spark Splunk SQL Tableau

Perks/benefits: Career development Flex hours Flex vacation Startup environment

Region: Asia/Pacific
Country: India

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