Data Engineer (Engineering)

More than 30 years ago, ETRADE pioneered the online brokerage industry by executing the first-ever electronic individual investor trade. While the landscape of our industry has changed dramatically, our culture of innovation and drive to make online trading accessible to everyone continues to drive us forward. We believe in challenging the status quo, fostering an environment of curiosity and learning, and, above all, putting our custom e rs first.

In 2020, ETRADE joined Morgan Stanley, signaling a major industry shift that brought Wall Street and Main Street together more than ever before. As ETRADE’s parent company, Morgan Stanley plays an important role in expanding what we can offer to investors, though ETRADE still functions as an independent entity.

RESPONSIBILITIES

As a Data Engineer, you will work on high-quality data solutions, partnering with various engineering and business teams within the enterprise to design and develop data driven insights that inform business and product decisions. Additionally, you will be responsible for identifying, researching, and resolving complex technical problems that enhance the combined business decision making capabilities.
Your technical skills, business acumen, and creativity will be essential as you build tools to automate reporting and generate timely business insights.

Responsibilities:

• Define best practices, develop frameworks and architectural solutions for data movement and analytics at scale.
• Train and mentor members within the data engineering team on technology platforms and tools used to develop data solutions.
• Prepare documentation – runbooks, training documents and user guides – for frameworks and ETL jobs.
• Partner with engineering teams to operationalize/scale the deployment of solutions to achieve optimum performance and efficiency.
• Partner with business teams across the enterprise to help understand their data and analytic needs, identify the best data sources and design robust and maintainable solutions.

REQUIREMENTS

Required Skills:

• BA/BS degree in a technical or quantitative/business-oriented field or equivalent practical experience.
• 5+ years of relevant experience.Excellent communication, documentation, and planning skills.
• Expert-level analytical skills – specifically using SQL.
• Independent-working, fast-learning and problem-solving.
• Experience working with any big data platform developing ETL and analytic solutions using the tools provided.
• Leverage SQL, and other analytic platforms to gather, clean, and prepare data; create dashboards/reports; develop KPIs; analyze trends; provide insights.

Preferred Skills:

• Experience working on Hadoop with hands-on knowledge of services within the ecosystem.
• Experience with data integration and ETL tools and platforms like IBM DataStage, Streamsets.
• Experience working with atleast one interpreted programming language such as Perl or Python.
• Exposure to business intelligence tools and creation of reports & analytics.
• Understanding of cloud-based technologies.
• Understanding of distributed data processing frameworks like Spark.
• Familiar with automation, workflow and data flow concepts.
• Experience working in the Financial industry.

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