📋 Job Details at a Glance 📍 Location Mumbai, Maharashtra 🏢 Company BlackRock 👥 Experience 3-5 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills dbt Airflow SQL Python Snowflake Microsoft Azure Associate, Data Engineer at BlackRock — Full Details & How to Apply BlackRock is seeking a dynamic Associate Data Engineer to join their team in Mumbai, Maharashtra . This role offers a unique opportunity to contribute to cutting-edge data solutions in the financial technology sector. As organizations increasingly rely on data insights to drive business strategies, the demand for skilled Associate Data Engineers has never been higher. The Associate Data Engineer role is crucial in today's technology landscape, where data-driven decision-making is paramount. With the rise of big data and analytics, companies are looking for professionals who can optimize data workflows and enhance data quality. In this context, the Associate Data Engineer position at BlackRock stands out as a vital contributor to the organization's success, enabling teams to make informed decisions that impact the bottom line. BlackRock is not just another employer; it is a leader in the financial technology industry, renowned for its commitment to innovation and excellence. The company fosters an environment where data engineers can thrive, offering mentorship and professional development opportunities. With a collaborative work culture, BlackRock encourages its employees to push the boundaries of what's possible in data engineering, making it an ideal place for aspiring Associate Data Engineers . This role is ideal for both freshers and candidates with up to 5 years of experience . Eligible candidates should hold a B.Tech, B.E., MCA, or M.Tech degree and be from the 2023, 2024, 2025, or 2026 batches. If you have a passion for data engineering and possess skills in dbt , Airflow , SQL , Python , Snowflake , and Microsoft Azure , this is the perfect opportunity for you to make your mark in the industry. As an Associate Data Engineer at BlackRock , you will gain invaluable experience in cloud architecture , production-grade data solutions , and Agile workflows . This position will not only enhance your technical skills but also provide you with a platform for rapid career advancement within a Fortune 500 company. You will be part of a team that is dedicated to optimizing data processes and supporting critical business decisions. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate information to apply online for this exciting Associate Data Engineer role at BlackRock . Job Role & Responsibilities The role of an Associate, Data Engineer at BlackRock is pivotal in shaping the data infrastructure that drives business intelligence and analytics. This position involves designing and implementing robust data pipelines, ensuring that data flows efficiently and is transformed into actionable insights. Design and implement data pipelines to ensure efficient data flow and transformation, leveraging tools like dbt and Airflow . Utilize SQL and Python to develop robust data models and queries that support business analytics and reporting needs. Collaborate with cross-functional teams , including data analysts and software engineers, to align data engineering efforts with business objectives. Monitor and optimize data performance metrics , ensuring high availability and reliability of data systems. Take ownership of data quality initiatives , implementing best practices and tools to maintain data integrity. Document data processes and workflows clearly to facilitate knowledge sharing and onboarding of new team members. Innovate and troubleshoot data-related challenges , contributing to continuous improvement in data engineering practices. Participate in code reviews and provide constructive feedback to enhance team performance and code quality. Stay updated with the latest trends and technologies in data engineering to drive innovation within the team. This role fosters an ownership culture where you will have the opportunity to make impactful contributions to BlackRock's data strategy, driving efficiency and quality across the organization. Required Skills & Technical Competencies The ideal candidate for the Associate, Data Engineer position at BlackRock should possess a strong technical skill set combined with effective collaboration abilities. This role requires proficiency in various tools and technologies that are essential for building and maintaining data pipelines. Technical Skills dbt (Intermediate) — essential for transforming raw data into actionable insights and ensuring data quality. Airflow (Intermediate) — used for orchestrating complex data workflows, ensuring timely data processing. SQL (Advanced) — enabling the candidate to write complex queries for data extraction and manipulation. Python (Advanced) — utilized for developing data models and automating data processing tasks. Snowflake (Familiarity) — advantageous for working with cloud data warehousing solutions. Microsoft Azure (Familiarity) — integral to BlackRock's data infrastructure and cloud services. Soft Skills & Professional Competencies Analytical skills — ability to interpret complex data sets and derive actionable insights. Problem-solving — adept at troubleshooting data-related challenges and implementing effective solutions. Effective communication skills — crucial for collaborating with diverse teams and presenting findings. Time management — ability to prioritize tasks and meet deadlines in a fast-paced environment. Good to Have (Bonus) Git — experience with version control systems for collaborative coding. JIRA — familiarity with project management tools for tracking progress and tasks. Tableau — knowledge of data visualization tools to present data insights effectively. To effectively showcase these skills in your resume or during interviews, focus on specific projects or experiences that highlight your proficiency in dbt , SQL , and Python , as well as your ability to collaborate with teams and solve complex problems. Eligibility Criteria This role is designed for recent graduates and early career professionals eager to embark on a journey in data engineering at BlackRock . Candidates should meet the following criteria to qualify for the position. Candidates must hold a degree in any field , with a preference for those with a background in computer science, engineering, or related disciplines. Eligible batches include 2023, 2024, 2025, and 2026 passouts. A minimum CGPA of 6.5 is preferred, reflecting a strong academic foundation. Candidates should have 3-5 years of relevant experience in data engineering or related fields. Demonstrating relevant projects or contributions on platforms like GitHub can significantly strengthen the application. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your technical skills and relevant experiences. Include links to your GitHub or portfolio showcasing your projects, as well as any certifications related to data engineering . Pro Tip: Tailor your application to emphasize your experience with dbt , SQL , and Python to improve your chances of success in securing an interview for this role. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at BlackRock for the role of Associate, Data Engineer emphasizes offering a [Salary Display value] that is competitive and aligned with industry standards. While specific salary figures are not disclosed, candidates can expect a comprehensive benefits package that supports both their professional and personal well-being. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — employer-matched contributions to your provident fund Paid Time Off — generous vacation days and public holidays to promote work-life balance Flexible Work Hours — options for hybrid work arrangements to suit individual needs Performance Bonuses — annual bonuses based on individual and company performance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — daily meal vouchers to support your nutrition Transportation Support — assistance for commuting costs Stock Options — potential equity in the company as part of your compensation package Mentorship Programs — access to experienced professionals for career guidance Career Progression & Salary Growth At BlackRock , career progression is prioritized through structured promotion timelines and annual performance reviews. Employees can expect a typical raise percentage of 5-10% annually, along with opportunities for internal mobility that encourage rapid career advancement. NexisGrow.com tip: Always research industry standards and be prepared to discuss your salary expectations based on your skills and experience during negotiations. Selection Process The hiring philosophy at BlackRock focuses on identifying candidates who not only possess the necessary technical skills but also align with the company’s core values and culture. The selection process for the Associate, Data Engineer role is designed to thoroughly assess both technical and interpersonal competencies. 1 Round 1: Initial Screening — Review of applications focusing on relevant experience and technical skills. 2 Round 2: Technical Interview — Assessment of proficiency in SQL , Python , and data engineering concepts through practical scenarios. 3 Round 3: Behavioral Interview — Evaluation of cultural fit, teamwork, and problem-solving abilities within the context of BlackRock 's values. 4 Final Offer Stage — Includes a background check and discussions on compensation and benefits. What Each Round Tests Round 1 focuses on your relevant experience and technical skills. Round 2 tests your proficiency in SQL , Python , and practical data engineering scenarios. Round 3 evaluates your communication skills and cultural fit within BlackRock . Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status at each stage. Interview Prep Tip: Familiarize yourself with BlackRock 's core values and prepare examples that demonstrate your alignment with their culture. How to Apply for Associate, Data Engineer at BlackRock Apply Now — BlackRock Create Your Profile — Click the apply button and set up your profile on the application portal. Upload Your Resume — Highlight relevant skills and experiences that align with the Associate, Data Engineer job description. Fill Out the Application Form — Complete all required fields accurately and thoroughly. Track Your Application — After submission, monitor your email for a confirmation and updates on your application status. Apply Promptly — Applications are reviewed on a rolling basis, so early submission is encouraged. Resume & Profile Tips for This Role Highlight Technical Skills — Emphasize your proficiency in SQL , Python , and relevant data engineering tools. Showcase Relevant Projects — Include any hands-on project experience or internships related to data engineering. Demonstrate Problem-Solving Abilities — Provide examples of how you have effectively solved technical challenges. Tailor Your Application — Customize your resume to reflect the specific requirements of the Associate, Data Engineer position. Early application is beneficial as it increases your chances of being reviewed before the position closes. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Associate Data Engineer role at BlackRock? Eligibility Tap to expand + Answer Candidates must hold any graduate degree, preferably in computer science or engineering, and should belong to the 2023-2026 batches with 3-5 years of relevant experience. ? What is the interview process for Associate Data Engineer at BlackRock? Interview Tap to expand + Answer The interview process includes an initial screening, followed by a technical interview focused on SQL and Python, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with dbt, Airflow, SQL, Python, Snowflake, and Microsoft Azure, which are essential for data pipeline development and management. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While the salary is not disclosed, candidates can expect competitive compensation aligned with industry standards, along with performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is based in Mumbai and may offer hybrid work options, aligning with industry norms for flexibility. ? What is the career growth path after joining BlackRock as Associate Data Engineer? Growth Tap to expand + Answer In the first 6-12 months, you can expect to take on more complex projects, with opportunities for promotions and internal mobility within 2-3 years. ? How should I prepare for the Associate Data Engineer interview at BlackRock? Preparation Tap to expand + Answer Focus on mastering SQL and Python, and familiarize yourself with data engineering concepts and tools like dbt and Airflow. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official career link, ensuring your resume highlights relevant skills and experiences tailored to the job description. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, during which performance will be evaluated to ensure alignment with role expectations. ? What is the work culture like at BlackRock? Culture Tap to expand + Answer BlackRock fosters a collaborative and inclusive work culture, emphasizing continuous learning, teamwork, and respect for diverse perspectives. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com