Senior Research Analyst - Data Engineer- Pune Please wait... Date 17-Nov-2020 Location Pune, Maharashtra, IN Company CRISIL Limited COMPANY PROFILE About CRISIL Limited CRISIL is a global, agile and innovative analytics company driven by its mission of making markets function better.
We are Indias foremost provider of ratings, data, research, analytics and solutions. A strong track record of growth, culture of innovation and global footprint sets us apart.
We have delivered independent opinions, actionable insights, and efficient solutions to over 100,000 customers. We are majority owned by S&P Global Inc.
a leading provider of transparent and independent ratings, benchmarks, analytics and data to the capital and commodity markets worldwide.
KEY ROLES & RESPONSIBILITIES Work closely with Clients (a leading Asset Management) Data Science team to improve optimize and support the platform.
This group is chartered with building data science capabilities across the firm. Projects encompass all aspects of our organization, spanning investment research, sales / marketing, trading, risk management, and operations.
Data scientists and data engineers work with the stakeholders across internal client teams to surface challenges and opportunities that can be effectively addressed using data science techniques and modern data technology The ideal candidate will have experience working with modern data architectures, developing software, assembling, processing, and checking the integrity of large and complex datasets, and designing, constructing, testing, implementing, and maintaining data pipelines that support machine learning orchestration in a cloud computing environment.
The Data Engineer will be responsible for architecting, building, testing, and maintaining robust and scalable modern data and machine learning pipelines using cloud platforms for analytics and models implemented by the Data Science Team.
He or she will instill best practices for software development and documentation, assure designs meet requirements, deliver high-quality work, and continue to learn new technologies INTERACTIONS Works within own team and interacts with other related teams Communicates with internal & external clients and / or issuers as necessary MINIMUM & PREFERRED EDUCATION Bachelors, Masters or PhD in Computer Science, Mathematics, Statistics, Economics MINIMUM & PREFERRED EXPERIENCE / SKILLS The Data Engineer should have 3 years of experience in a similar role and a degree in computer science, computer engineering, or a highly related field.
Be fluent in Python (and many of its libraries) Be proficient in query languages for both SQL and NoSQL databases, such as MySQL, MongoDB, Postgres, etc.
Has expertise in cloud computing technologies, such as Azure / AWS Has experience in web scraping (extract large amounts of data from websites) Has experience in data pipeline and workflow management tools, such as Airflow, etc.
Be well-versed in modern data technologies including the entire Hadoop ecosystem, Spark, Docker, Kubernetes Be a self-starter and willingness to take initiative with little supervision Has strong verbal and written communication skills Job Segment Equity, Data Analyst, Risk Management, Research, Finance, Data Please wait...