- Job Title: Associate Data Engineer
- Company: BlackRock
- Degree: Any Graduate Can Apply
- Salary: INR 3 – 7/-LPA
- Location: Work From Home
- Experience: Freshers/Experienced Both Eligible
Company Overview:
BlackRock is a global funding manipulation organization devoted to supporting clients to construct better financial futures. With our contemporary era and a collection of diverse and gifted specialists, we attempt to supply excellence in the complete element we do.
As an Associate Data Engineer at BlackRock, you’ll have the opportunity to paint on revolutionary tasks that strain our statistics-driven choice-making way and make contributions to the achievement of our clients.
Job Description: Associate Data Engineer
As an Associate Data Engineer at BlackRock, you could play a vital characteristic in designing, growing, and preserving statistics pipelines and infrastructure to assist numerous business agency features. You will work intently with circulate-realistic groups to understand their facts goals and make bigger scalable answers to ingest, redecorate, and test records correctly.
Key Responsibility:
Your obligations will consist of but are not constrained to:
- Data Pipeline Development: Design, enforce, and maintain robust records pipelines to build up, approach, and store huge volumes of statistics from several sources.
- Data Transformation: Develop algorithms and scripts to clean, redesign, and enhance raw facts to make it appropriate for evaluation and reporting capabilities.
- Infrastructure Management: Manage and optimize facts garage and processing infrastructure the usage of cloud-primarily based structures inclusive of AWS, Azure, or GCP.
- Data Quality Assurance: Implement records wonderful checks and monitoring mechanisms to ensure the accuracy, completeness, and reliability of the information.
- Performance Optimization: Identify universal overall performance bottlenecks and optimize records processing workflows for superior universal overall performance and scalability.
- Collaboration: Collaborate with information scientists, analysts, and business corporation stakeholders to understand necessities and deliver answers that meet their desires.
- Documentation: Document information pipelines, workflows, and processes to ensure know-how sharing and maintainability.
- Continuous Improvement: Stay up to date with modern technology and satisfactory practices in information engineering and contribute to the non-save-you improvement of our facts infrastructure.
Qualifications and Skills:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related area.
- Solid programming capabilities in languages alongside facet Python, Java, or Scala.
- Experience with data processing frameworks which includes Apache Spark, Hadoop, or Flink.
- Proficiency in SQL and database technology (e.g., PostgreSQL, MySQL, or SQL Server).
- Familiarity with cloud systems and services (AWS, Azure, or GCP).
- Strong trouble-fixing skills and interest in detail.
- Excellent verbal exchange and teamwork capabilities.
- Ability to work independently and deal with more than one responsibility simultaneously.
Preferred Qualifications:
- Experience with containerization and orchestration gear alongside Docker and Kubernetes.
- Knowledge of distributed computing thoughts and parallel processing strategies.
- Familiarity with version manipulation systems (e.g., Git) and CI/CD pipelines.
- Understanding monetary markets and investment products is a plus.
Benefits:
At BlackRock, we provide competitive compensation packages, entire fitness advantages, and opportunities for career growth and improvement. You have to have get right of entry to to fashionable-day technology and a supportive painting environment wherein your ideas and contributions are valued.
How To Apply:
If you are captivated with leveraging data to pressure agency insights and need to be part of a dynamic organization that is shaping the future of finance, we inspire you to apply for the Associate Data Engineer role at BlackRock.
Come broaden with us and make a significant impact on the arena of investment manipulation.
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