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Data Engineer - Assistant Maanger

As a data engineer, you will play a crucial role in our data infrastructure and analytics initiatives. You will contribute to the design, development, enhancement & maintenance of data pipelines, ensuring data integrity, scalability and security. This is an opportunity to work within a very strong development team and help to develop new challenging features in the Collateral management using cutting edge technologies.

Hiring for a skilled data architect with 5 - 12 years of experience with deep understanding of data processing frameworks and solid experience with ETL development using distributed computing frameworks as Apache Spark, Databricks, Python, PySpark. Additionally, cloud experience particularly with AWS platform is highly desirable.

  • Collaborate with stakeholders to design and build and maintain robust and scalable data pipelines to efficiently collect, transform and load high volume of data from various sources using data ingestion tools
  • Develop and optimize data models & schema for analytical and operational use cases
  • Establish data quality standards & best practices, implement data governance process and ensure data integrity, security and compliance
  • Create visual representations of data to help business and organization understand complex information
  • Work closely with infrastructure and DevOps teams to ensure the reliability, performance and scalability of our data infrastructure
  • Build data integrations between on-prem/cloud-based systems
  • Monitor and troubleshoot issues in production environment
  • Drive continuous improvement initiatives to optimize performance, reliability and scalability of applications
  • Mentor and coach team member on design, architecture, best practices and development methodologies
  • Evaluate new technologies, frameworks and tools in the data engineering space to drive innovation and improve data processing capabilities

Core/Must have skills:

  • Good hands-on experience in Python/PySpark with strong experience in Spark scala/PySpark and Spark SQL for data processing and Databricks, AWS services
  • Hands-on experience in SQL, PL/SQL, Unix Shell Scripting, Autosys/Airflow
  • Experience with relational databases such as Oracle, PostgreSQL as well as NoSQL databases
  • Data integration techniques and tools including APIs and data streaming
  • Strong analytical and problem solving skills, with the ability to identify and resolve issues in data pipelines and systems
  • Experience with Agile software development methodology and version control systems like GitHub
  • Expertise in Data Modeling and DB design with the skills in performance tuning
  • Support existing data platforms and products in production for any critical issues and provide resolution fixes
  • Have good communication skill, and collaborate well with different teams/stakeholders and vendors

Good to have skills:

  • Knowledge of AWS based data storage & processing services, DevOps would be a Plus
  • Knowledge in Spark based data engineering solutions using Databricks and Unity Catalog
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes is a Plus
  • Excellent work ethics with ability to work independently
  • Experience in Banking Domain preferred

Work Schedule: Hybrid

Why this role is important to us:

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street:

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

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Average salary estimate

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$60000K
$100000K

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What You Should Know About Data Engineer - Assistant Maanger, State Street

At State Street, we’re on the lookout for a skilled Data Engineer - Assistant Manager to join our dynamic team in Hyderabad, India. This role is pivotal in shaping our data infrastructure and advancing our analytics capabilities. As a Data Engineer, you'll engage in the exciting task of designing and developing robust data pipelines that ensure data integrity, security, and scalability. You’ll collaborate closely with various stakeholders to optimize data flow from diverse sources while leveraging cutting-edge technologies like Apache Spark, Databricks, and AWS. If you have 5 to 12 years of experience under your belt and are eager to work in a supportive environment that champions continuous learning and innovative solutions, this job is for you! Your day-to-day will involve implementing best practices for data governance, mentoring team members, and even creating visual data representations that aid in decision-making. You'll also work closely with our infrastructure and DevOps teams to enhance our data ecosystem continuously. At State Street, we pride ourselves on fostering growth and innovation. Here, you’ll be encouraged to amplify your technical skills, solve complex data challenges, and contribute meaningfully to the financial services landscape. If you’re a passionate problem solver ready to take your career to the next level, we’d love for you to be a part of our journey!

Frequently Asked Questions (FAQs) for Data Engineer - Assistant Maanger Role at State Street
What are the primary responsibilities of a Data Engineer - Assistant Manager at State Street?

As a Data Engineer - Assistant Manager at State Street, your primary responsibilities include designing and building robust data pipelines, ensuring the integrity and security of data, and collaborating with stakeholders to efficiently collect and transform large volumes of data. You'll also optimize data models for various analytical and operational use cases and establish best practices for data governance.

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What qualifications are needed for the Data Engineer - Assistant Manager position at State Street?

To qualify for the Data Engineer - Assistant Manager role at State Street, candidates should possess 5 to 12 years of relevant experience, particularly in ETL development, data processing frameworks, and cloud platforms such as AWS. Proficiency in Python or PySpark, Spark SQL, and SQL databases is also essential, along with good communication and collaboration skills.

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Is experience with cloud technology necessary for the Data Engineer - Assistant Manager role at State Street?

Yes, having hands-on experience with cloud technologies, especially AWS, is highly desirable for the Data Engineer - Assistant Manager position at State Street. The role involves working with cloud-based data storage and processing services, so familiarity with these platforms will be beneficial.

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What does the working environment look like for a Data Engineer - Assistant Manager at State Street?

At State Street, the working environment is collaborative and supportive. Employees are encouraged to innovate and contribute to the team’s success, with access to flexible work programs and development opportunities. It’s a hybrid setup, allowing for a balance of in-office and work-from-home days.

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Are there opportunities for career growth for Data Engineers at State Street?

Absolutely! State Street is committed to the career development of its employees. As a Data Engineer - Assistant Manager, you will have access to various educational support programs, mentorship opportunities, and the chance to lead initiatives that drive innovation within the company.

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Common Interview Questions for Data Engineer - Assistant Maanger
Can you explain your experience with ETL processes in your previous roles?

When answering this question, highlight specific ETL projects you've worked on, including the technologies used, the volume of data processed, and the impact your work had on the organization. Mention frameworks like Apache Spark or data tools like Databricks to showcase your expertise.

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How do you ensure data integrity in your data pipelines?

Explain the methods you've implemented for maintaining data integrity, such as data validation checks, quality assurance processes, and using ETL logging mechanisms. Providing specific examples will strengthen your answer.

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Describe a challenging data problem you faced and how you solved it.

In your response, discuss the nature of the problem, the steps you took to diagnose and troubleshoot the issue, and the ultimate resolution. Focus on analytical skills and innovative thinking used to overcome the challenge.

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What role does collaboration play in your work as a Data Engineer?

Highlight your collaborative experiences, emphasizing how you’ve worked with cross-functional teams, stakeholders, and possibly DevOps, to achieve project goals. Discuss your communication strategies that facilitate teamwork.

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Can you detail your experience with cloud platforms, particularly AWS?

When asked about AWS, talk about specific services you've used, such as S3 for storage or Redshift for data warehousing. Describe how you integrated these services into your data engineering tasks.

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What strategies do you utilize for optimizing data pipelines?

Discuss techniques like indexing, partitioning, and maximizing parallel processing within frameworks like Spark. Providing tangible examples can illustrate your effectiveness in this area.

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How do you handle production issues in your data pipelines?

Outline your approach to diagnosing production issues, including any monitoring tools or logging mechanisms you use, followed by an explanation of how you prioritize fixes based on impact.

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What is your experience with version control and collaborative coding?

Mention your experience with Git or similar tools and describe how you've used version control for maintaining code integrity in collaborative environments, particularly in agile frameworks.

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Discuss your familiarity with containerization tools like Docker.

Provide details about any projects where you utilized Docker for deploying data applications, including benefits like consistency across environments and simplified deployments.

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How do you stay updated on industry trends and new technologies relevant to data engineering?

Talk about resources you use, such as webinars, online courses, tech blogs, and community forums. It shows your commitment to continuous learning and keeping your skills relevant.

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Work/Life Harmony
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At State Street, inclusion and diversity are embedded in our values and culture. We know that an inclusive culture and a diverse workforce make us stronger and more successful. In a fast-paced and evolving world, we make it a priority to ensure ...

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Full-time, hybrid
DATE POSTED
April 15, 2025

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