Jobs
Benefits & Perks
•Flexible Hours
•Learning Budget
•Parental Leave
•Flexible Hours
•Learning
•Parental Leave
Required Skills
Python
PySpark
SQL
ETL
Oracle PL/SQL
Java
Unix/Linux
AWK
SED
Role Summary &Description:
Looking for a Data Engineer with 5-7 years of IT experience, 3+ years strong in python code development. Who will play a key role in Data engineering team with Proficient knowledge in Data Engineering, ETL, SQL, python, Py Spark programming and RDBMS Database, Cloud Concepts and strong Programming skills expected to support State Street Data Intelligence Technology Platform Products and initiatives.
Roles & Responsibility:
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Responsible to Analysis, automate, load, manage the data required for financial model development and Production Benchmarking.
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Part of Data Intelligence Product development team responsible to develop, manage, monitor and support production application Processes.
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Deliver Projects on time with data quality and high accuracy. Always maintain Product and system Documentation up to date.
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Evaluate and challenge business processes, uncover opportunities for improvement, and develop and implement solutions.
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Gathering critical information from meetings and producing useful analysis, actionable events and output.
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Monitoring deliverables and ensuring timely completion of tasks and projects.
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Manage handling large dataset, design, Develop and implement from concept, prototype and product automation using advance tools.
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Work closely with all stakeholders including business owners to address data questions, data issues, access issues on time resolution.
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Responsible to support Business Users with Data Analytics and explore and recommend latest tools.
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Perform analysis on large complex data sets using structured and un-structured environment.
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Prioritizing tasks based on business needs and requirements. Effective team player with good communication skills.
Must have Skills:
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Data Engineering knowledge in data Loading (ETL) in On-Prem and Cloud Databricks, python, Py Spark, SQL Performance Tuning.
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Knowledge in SQL (Analytical Functions and complex queries), Unix/Linux OS, DB Performance Tuning and Tools
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AWR, SQL Loader, SQL Trace and TKPROF, Oracle PL/SQL, Python, Java, Unix/AWK/SED Scripting. Knowledge in tools like Autosys, TOAD, SQL coding, perforce, GitHub, RTC
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Good communication skills, able to effectively communicate with multiple technology teams and business counterparts.
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Financial domain Knowledge and index/benchmark automation experience added advantages for this Role.
GOOD TO HAVE SKILLS:
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Knowledge in Oracle Advance features like Compression, Oracle Internals and fine grain VPD security and network security. Able to understand logical and physical data models and develop/support end to end data topology for different financial models.
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Implement from concept to prototype and product development using financial algorithms as per product requirements in VLDB environment. Quantitative data modeling experience is added advantage.
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Knowledge in BI tools like Spotfire, Tableau, Power BI or Matlab Programming using mathematical toolbox or AWS/Azure Cloud, AWS/Azure Data Bricks, Hadoop Bigdata Platform experience added advantage.
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 Industries 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 State Street.com/careers
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About State Street

State Street
PublicState Street Investment Management — formerly State Street Global Advisors (SSGA) — is an American investment management division of State Street Corporation founded in 1978 and the world's fourth largest asset manager, with nearly US$4.1 trillion in assets under management as of December 31, 2023.
10,001+
Employees
Boston
Headquarters
Reviews
3.5
6 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.5
Career
3.2
Management
2.8
35%
Recommend to a Friend
Pros
More opportunity than other banks
Career advancement potential
Financial services experience
Cons
Slow hiring process
Poor Glassdoor reviews
Variance in firm quality opinions
Salary Ranges
76 data points
Junior/L3
Junior/L3 · Business Analyst
2 reports
$134,560
total / year
Base
$117,009
Stock
-
Bonus
-
$127,061
$142,060
Interview Experience
5 interviews
Difficulty
2.6
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 60%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Phone Interview
4
Technical/Hiring Manager Interview
5
Final Interview/Offer Stage
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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