Job Location: Hyderābād
SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world’s largest institutions to local firms, manage and account for their investments using SS&C’s products and services.
Job Description
Your deep experience with artificial intelligence and advanced analytics is matched by a passion to build great products, lead innovation and be a mentor and guide to other Engineering team members. In the past you have been part of a startup or corporate innovation team working in fast-moving environments that demonstrated your ability to creativity solve technical challenges.
A Pioneer in the Fintech, Intralinks is a 22 years old company. 1/3 of the world’s M&A runs on our Virtual Data Room product, $1 of every $2 dollars of private equity is raised our Fund raising and reporting solutions.
What we are searching for:
Intralinks is looking for Senior Data Engineers to join our growing team of AI and ML experts. As a team member, you will be evolving and optimizing our data and data pipeline architecture, as well as, optimizing data flow and collection for cross functional teams. You are an expert data pipeline builder and data wrangler who enjoys optimizing data systems and evolving them. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data and models architecture is consistent throughout ongoing projects. You are self-directed and comfortable supporting the dataOps needs of multiple teams, systems and products. You will also be responsible for integrating them with the architecture used across the company. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our existing and next generation of AI and ML driven products and solutions initiatives.
Your Roles and Responsibilities
What we would like to see
Responsibilities & Opportunities of the Role:
- Collaborate with product development, business analysts and software architects, data scientists and machine learning engineers from other departments to plan, design, develop, test, and maintain new artificial intelligence systems.
- Create and maintain optimal data and model pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud-based ‘big data’ technologies from AWS. Includes working in highly-available, geographically dispersed systems.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep data separated and secure across national boundaries through multiple data centers and strategic customers/partners.
- Create tool-chains for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management systems.
Minimum Qualifications to Apply:
- 5+ years experience using the following software/tools:
- Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with Data and Model pipeline and workflow management tools: Azkaban, Luigi, Airflow, Dataiku, etc.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- 2+ years experience supporting production pipelines for non-academic artificial intelligence and machine learning systems
- 3+ years experience with big data systems and/or advanced analytics
- 3+ years of experience with production data pipelines and CICD
- At least 5 years overall, combined software and services development experience.
- Experience with deployment and maintenance of SaaS applications and products.
- Experience with development of microservices.
- Familiarity With Graph Databases And Search technologies a plus.
- BS, MS or PhD degree in Computer Science, Informatics, Information Systems or another related field.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of other databases/date-sources.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and seek opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Experience building processes supporting data transformation, data structures, metadata, dependency and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and interpersonal skills.
- Intense intellectual curiosity – strong desire to always be learning
- Experience working with distributed global teams
- Ability to work with other Engineering leaders working on an inherited codebase and platform which is under refactoring
- Demonstrated experience presenting to business leaders
- Willingness to travel to the European Union and/or the United States once or twice a year
- Fluent in English
- Experience in a startups and/or corporate innovation team strongly recommended
- Experience with Financial Services is preferred but not required
Unless explicitly requested or approached by SS&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&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan. SS&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.
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