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Role Overview:
A Data Engineer in the cloud is primarily responsible for designing, building, and managing scalable data infrastructure and pipelines. They work to ensure that data is accessible, reliable, and processed efficiently for various business needs. This role involves a mix of software engineering, data warehousing, and big data technologies.
The key responsibilities include developing, constructing, testing, and maintaining data architectures (such as databases and large-scale processing systems). They are also responsible for aligning these architectures with business requirements, ensuring data quality and governance, and implementing data security measures.
In addition, Data Engineers collaborate closely with data scientists and analysts to understand their needs and provide them with the necessary data for analysis
Why this role is important to us:
The team you will be joining is a part of Compliance IT ,Compliance IT ensures that our operations adhere to the necessary regulations and standards, safeguarding our business from potential risks and liabilities. This role is not only about maintaining compliance but also about driving our mission forward by ensuring that our systems and processes are robust, secure, and efficient.
Your contributions will directly impact our company's ability to operate within legal parameters while also fostering a culture of integrity and accountability. We deeply value the expertise and dedication you'll bring to the table, and we are excited to see the positive influence you'll have on our team.
What you will be responsible for
As a Data Engineer , The key responsibilities include developing, constructing, testing, and maintaining data architectures (such as databases and large-scale processing systems). They are also responsible for aligning these architectures with business requirements, ensuring data quality and governance, and implementing data security measures.
These skills will help you succeed in this role:
Bachelor’s degree in computer science or engineering
Minimum 10+ years of hands-on experience with data focused application development such as ETL, Data engineering.
Experience with advanced Bigdata technologies like Hadoop, Spark, Hive, SQL and NoSQL.
Strong in programming languages with 3+ years of Hands-on experience: Scala and Python.
2+ years of experience with public cloud technologies such as AWS, DataBricks is required.
Experience in build and optimize Spark jobs for performance and cost efficiency.
Prior experience in working with CI/CD pipelines and orchestration tools.
Able to monitor and troubleshoot production data pipelines.
Knowledge of ETL Tools, DEVOPS, GitHub is preferrable.
Exposure to Elasticsearch, Graph DB is a big plus
Exposure to machine learning is a plus.
Knowledge of Finance, custody services, data privacy, AML and related compliance domain is plus.
Additional requirements:
Prior experience with Finance and compliance domain.
Certifications in Databricks, Cloud environment.
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.
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