Senior Data Engineer - Idea

Capital Group

Req ID: 31581

Experience Level: Professional 

Other Location(s): N/A 

Come grow with us

At Capital Group, how we work is defined by shared values that include absolute integrity, respect and collaboration. But it’s more than that. It’s smart and highly driven people united in purpose to serve our investors and one another.

Bring your energy and unique perspective to Capital and you’ll have the opportunity to grow with us professionally, personally, and financially. You’ll be part of a team that genuinely cares about helping you succeed. You’ll work alongside talented colleagues, many of whom build long careers while progressing through multiple roles, establishing lifelong friendships and making a difference in our communities. In return for your contributions, you’ll receive premier compensation and benefits, and a company-funded retirement plan that ranks among the most generous.

Capital group is continually evolving reliance on data, insights and advanced analytics to drive business outcomes. Our Information Delivery team is an exciting and fast-growing team focused on delivering data and analytics solutions while also advancing the role of emerging technologies such as Big data, Machine Learning, AI and automation to achieve business goals.

As Data Engineer in Information Delivery Group will be responsible for all aspects of the data delivery, primarily developing large scale data pipelines, cloud based big data solutions supporting structured and unstructured data, including streaming. You will partner with the Data Science and Analytics teams to influence ways to achieve business priorities and provide leadership through innovation, critical thinking, collaboration and proactive risk management. 

Responsibilities/Essential functions:

  • Collaborates with business partners as a hands-on technologist, responsible for leading end-to-end data solution delivery to solve complex data problems
  • Develops and displays thought leadership through a deep understanding of supported business capabilities, and applies industry trends/products/solutions to solving underlying business problems
  • Performs data analysis on very complex datasets that span multiple source systems, develops a deep understanding of complex relationships, and serves as a subject matter expert
  • Leads the analysis and design of complex data solutions, across all layers of the data platform, including data models/storage, pipelines, data science models, and visualization
  • Leverages and promotes existing frameworks and influences the development of new data framework and patterns. Facilities and provides and receives code reviews, taking ownership of outcomes.
  • Drives supportability and the quality of the overall solution, while also adhering to functional and non-functional requirements, ensuring solutions are automated and tested early and often
  • Collaborates with business, technology, and vendor partners to identify solution options, analyze pros and cons, make recommendations, and influence final decisions while tying multiple products/services together holistically
  • Proactively keeps up to date on data-related technologies that could drive positive change, and seeks opportunities to share that knowledge with others
  • Plans, estimates, and proposes work break down structure for the entire solution, including innovative approaches for managing the work, solution, and/or risks. Accountable for scope, timeline, and the costs of the proposed solution
  • Proactively identifies and communicates issues, risks, progress to business and IT stakeholders, providing options and next steps
  • Troubleshoots and supports the entire solution, across all layers of the data platform

Qualifications:

  • BS in Computer Science or Technical field
  • 3+ years of relevant work experience in analytics, data engineering, complex ETL, BI or related field
  • 2+ years of experience in implementing big data solutions and automating enterprise scale data pipelines leveraging Hadoop, Apache Spark, etc.
  • Code proficiency in Python and other modern programming languages
  • Experience writing and optimizing advanced SQL queries in a business environment with large-scale, complex datasets.
  • Expert knowledge of large scale / distributed processing database systems and big data platforms, like Hadoop, AWS Redshift, Microsoft MPP, Snowflake
  • Excellent understanding of Big Data stack, including Hive, Hbase, Oziee, Airflow, MapReduce
  • Expert technical knowledge of ETL/ ELT technologies and a proven implementation track record leveraging complex SQL, ETL tools, API/file-based end points
  • Strong experience with cloud-first design, preferably AWS or Azure and corresponding services and components (data lake, mpp databases, autoscaling, container orchestration, etc.)
  • Experience in troubleshooting infrastructure bottlenecks at the storage, network, and/or compute layers
  • Strength in leadership, interpersonal, and problem solving skills with the ability to continually learn new concepts and technologies and effectively apply them

Company Overview:

Founded in 1931, Capital Group is one of the world’s largest and most trusted investment management companies and home to the American Funds. We manage more than US$1.7 trillion in assets, and our 7,500 associates make our clients their first priority every day. When we do our job right, millions of investors around the world fulfill their dreams and financial goals, from home ownership and higher education, to a comfortable retirement. Our long-term investment results and outstanding service set us apart from our competitors, while our workplace sets us apart from other employers. 

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. 

Nearest Major Market: Irvine California

Nearest Secondary Market: Los Angeles

Job Segment: Database, Computer Science, SQL, Data Analyst, Technology, Data

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Confirmed 13 hours ago. Posted 30+ days ago.

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