Vacancy expired!
Key Takeaways:- SQL knowledge a must- intermediate- Scripting languages ex. Python, Pearle- Batch processing work + analytic workStrong C Programming This role requires that all successful applicants be fully vaccinated against COVID-19 as a condition of the engagement and provide proof of such vaccinations within 3 days of commencement of services. Description: As Data Engineer, you will work on high-quality data solutions to as part of the systems integration effort with .You will partner with various enterprise engineers 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. Required Skills:1. Excellent communication, analytical and planning skills2. Expert-level data modeling and analytical skills such as SQL3. More than 3+ years of experience working in financial industry4. Masters one programming languages such as Python or C5. Independent-working, fast-learning and problem-solving Preferred Skills: 1. Good understanding in data, systems and network infrastructure2. Used data integration tools and wrote ETL processes or scripts3. Exposed to business intelligence tools and wrote reports & analytics4. Understands cloud-based technologies and virtualization tools5. Familiar with automation, workflow and data flow concepts Responsibilities: 1. Candidates main role will be in the integration of systems between ETRADE and 2. Partner with engineering teams to operationalize/scale data solutions to improve ETRADEs business intelligence and analytical platforms, such as querying, reporting and analytical tools3. Leverage SQL, and other analytic platforms to gather, clean, and prepare data; create dashboards/reports; develop KPIs; analyze trends; provide insights4. Integrate new tools, software, and technology to streamline processes, improve efficiency, and improve working methods and culture within the analytics team5. Act as sql expert within the team and organization6. Develop data strategy for several lines of business, partnering closely with finance, product and operational leaders to understand their data needs, create a road map, and deliver solutions that fit their evolving needs Minimum Qualifications:1. BA/BS degree in a technical or quantitative/business-oriented field or equivalent practical experience2. 5+ years of relevant experience3. Skilled in working with enterprise level systems
Vacancy expired!