As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

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The Senior Data Engineer will be responsible for analyzing, designing, developing, testing, implementing, and maintaining or supporting information technology solutions. This includes building data-driven systems, architectures, and platforms for long-term analytical outputs and cloud-based application development. They will participate in cross-functional teams, identify new business opportunities within vast amounts of data, translate business problems into data-driven methodologies, and communicate complex analysis. The role involves designing and improving algorithms, mining data, managing stakeholders, and influencing data analytics platforms. The Senior Data Engineer will also guide less experienced team members and work on diverse tasks.

Director Private Equity Fund Accounting

As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.Job DescriptionSenior Data Engineer (SS&amp;C Technologies, Inc.; San Francisco, CA): The Senior Data Engineer is responsible for analyzing, designing, developing, testing, implementing, and maintaining or supporting information technology solutions by creating new and/or modifying existing software applications that provide a business function for the organization or its customers. Specific responsibilities include: Building data driven systems, architectures, and platforms to provide innovative solutions for long-term analytical outputs and cloud-based application development projects. Participating on cross-functional teams of technology, product, and business specialists to deliver best-in-class, customer-centric, big data projects by leveraging leading edge tools and technologies. Using strong technical and quantitative knowledge and skills to identify new opportunities for business solutions within vast amounts and varieties of data, delivers compelling proposals, defines requirements, designs new projects, and guides them through successful delivery and validation to drive business growth. Translating business problems into analytical, data-driven methodology to improve business efficiencies and make significant financial gains. Communicating complex analysis in a clear, understandable way to non-experts. Designs and continuously improves algorithms. Mining raw, relevant data from a variety of sources to identify patterns and correlations and to generate best-in-class actionable and meaningful insights. Managing stakeholders and guides them in unlocking the value in their data. Influencing architectures that will lead to transformation of data analytics platforms and information technology overall. Working on projects of a moderate scope or on varied tasks that require resourcefulness, self-initiative, and significant independent judgement. Guiding less experienced team members. May recommend new procedures. Initiatives may range from small enhancements through the largest, most complex development projects. The technical environment for software development consists of multiple system platforms and a variety of methodologies, techniques, languages, tools, and utilities. Leader of professionals or first-level leaders working on issues of a diverse scope or coordinating department activities. Exercising wide-latitude to make decisions within established company policies to meet business objectives. Advising staff and partners with cross-functional teams to meet project schedules and to develop solutions to issues. Accountable for department results. Establishes procedures and recommends changes to policies.Minimum requirements: Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or Information Technology, or a related field plus 5 years of experience as a data engineer. Alternatively, will accept Master’s degree or foreign equivalent in Computer Science, Computer Engineering or Information Technology, or a related field plus 3 years of experience as a data engineer.Must have: 3 years of experience getting data through API with: Python. Knowledge of big data platforms. Proficient coding skills and strong algorithm &amp; data structure basis. Knowledge of at least one of the tools: Hadoop, Spark, Presto, Hive, or Airflow. Proven ability transforming data, developing data structures, building a metadata store, and setting up data pipelines or data workflows. Strong problem-solving skills with a can-do attitude. Great software engineering best practices with git and version control systems. Solid communication skills to explain complex data pipelines to both technical and non-technical people. Excellent writing and documenting skills.Salary: $188,885 to $200,000 per yearApply online at <a href="https://www.ssctech.com/about-us/careers" target="_blank" rel="noopener noreferrer">https://www.ssctech.com/about-us/careers</a> or send resume to: Tim Cobb, Talent Acquisition, SS&amp;C Technologies, Inc., <a href="mailto:tim.cobb@sscinc.com" target="_blank" rel="noopener noreferrer">tim.cobb@sscinc.com</a>. Ref: 00069332. An EOE.#LI-DNIUnless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.SS&amp;C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.Salary is determined by various factors including, but not limited to, relevant work experience, job related knowledge, skills, abilities, business needs, and geographic regions.<h3></h3><h3></h3>California: Salary range for the position: 188000 USD to 200000 USD.<h3></h3><h3></h3>

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