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State Street

Lead Cloud Data Engineer - Manager

State Street is hiring a Lead Cloud Data Engineer - Manager in Hyderabad, India. Level rates it ; you can apply on State Street.

Level's read on this job

  • Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Databricks, AWS and Oracle.
  • Level classifies it as a lead role.
  • Level lists 1,100+ other open roles at State Street.
  • The role was posted in the last few days.

AI in this role

Design and develop high volume data ingestion components, cloud infrastructure, and data pipelines on AWS.

DatabricksAWSOraclePythonJavaPlsqlGitJenkinsAutosys
data-engineeringetlcloud-infrastructuredatabase-design

Role Summary & Role Description:

Chief Data Office (CDO) - Global Technology Solutions at State Street has a mandate to govern and report on data health across the enterprise. CDO is rolling out multiple initiatives and operating model changes to execute these initiatives and generate value for our internal and external clients.

We are looking for a Data Engineer with 10-15 years of work experience with hands-on cloud data engineering experience. The candidate should have industry experience (preferably in Financial Services) in building cloud based database engineering platforms.

As a Cloud Data Engineer (Manager) , you will:

  • Design and develop high volume data ingestion components and solutions to collect data from various sources.
  • Build data integrations between on-prem/cloud-based systems.
  • Manage and use appropriate tools in the cloud data lake development and deployment.
  • Responsible for developing/implementing cloud infrastructure to support current and future business needs.
  • Participating in technical design, application build, configuration, unit testing, and production deployment.
  • Preparation and maintenance of appropriate technical design documentation and diagrams
  • Develop new application features based on business requirements and UX inputs
  • Integration with front-end development/services
  • Work with other teams for deployment, testing, training and production support
  • Ensure that development, coding, privacy and security standards are adhered to at all times.
  • Ownership in diagnosis and resolution of issues, including the determination and provision of workaround solution or escalation to service owners.

This is an exciting opportunity for somebody to join a cutting-edge technology team with a product that is experiencing rapid growth. This is a hands-on developer positions within a small elite development team that moves very fast.

Core/Must have skills:

  • Hands on experience with AWS Cloud Data Engineering with Databricks platform
  • Expertise in Data Modeling and DB design
  • Hands on experience in setting up data pipelines for ETL jobs across multiple data sources.
  • Experience and strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.
  • Proficient in Oracle RDBMS and Python/Java/PLSQL coding
  • Strong skills in performance tuning, GIT, Jenkins, Autosys/Control-M/Job Schedulers

Good to have skills:

  • Understanding of CICD and DevOps
  • Understanding of Data Governance tools like Collibra DIC and Collibra Data Quality will be a big plus

Core/Must have skills

  • Hands on experience with AWS Cloud Data Engineering with Databricks platform
  • Proficient in Python, Pyspark and SQL coding
  • Exposure to Data Modeling and DB design
  • Hands on experience in setting up data pipelines in Databricks for ETL jobs across multiple data sources.

Good to have skills

  • Understanding of CICD and DevOps
  • Experience and strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.
  • Strong skills in performance tuning, GIT, Jenkins, Airflow/Autosys/Control-M/Job Schedulers

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

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.


We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.


As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.


Discover more information on jobs at StateStreet.com/careers


Read our CEO Statement

How we rate this

Lead Cloud Data Engineer - Manager at State Street rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLCloud InfrastructureDatabase DesignDatabricksAWSOraclePython

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$146k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  4. Tell me about a project where database design was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, ETL, Cloud Infrastructure, Database Design, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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