Cloud Data Lake Engineer
3 tygodni temu
We are seeking a highly skilled Cloud Data Lake Engineer to join our team at State Street. As a Cloud Data Lake Engineer, you will be responsible for designing, developing, and deploying cloud-based data lakes to support our enterprise applications.
Main Duties and Responsibilities:
Design and develop cloud data lakes to support enterprise applications.
Develop and implement cloud-based data ingestion, data modeling, and data distribution solutions.
Build data integrations between on-prem and cloud-based systems.
Manage and use appropriate tools in the cloud data lake development and deployment.
Participate in technical design, application build, configuration, unit testing, and production deployment.
Ensure all cloud solutions exhibit higher levels of cost efficiency, performance, security, scalability, and reliability.
Required Skills:
Development experience in designing, developing, and deploying complex applications.
Proficient in Oracle RDBMS and Python/Java/SQL coding.
Hands-on experience with cloud data migration on AWS using Databricks and maintaining cloud-based database systems.
Experience in building systems using modern, scalable, resilient, cloud-native architectures.
Experience in data modeling and DB design with strong skills in performance tuning.
Hands-on experience in setting up data pipelines for ETL jobs across multiple data sources.
Hands-on experience in troubleshooting and resolving database performance issues.
Strong knowledge of cloud security in AWS/Azure, specifically IAM roles & policies, security groups, and encryption keys.
Experience with optimizing database performance, scalability, ensuring data security and compliance.
Experience with event-based, micro-batch, and batched high-volume and high-velocity transaction and data processing systems.
Proficiency with CICD and DevOps.
Education & Qualifications:
Bachelor's/Master's degree in a computer science, computer engineering, or equivalent field.
We are committed to creating an inclusive environment where everyone can thrive and reach their maximum potential. If you are a motivated and detail-oriented individual with a passion for cloud data engineering, we encourage you to apply for this exciting opportunity.
About State Street:
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.
Salary Range:
$70,000 - $115,000 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
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