Data Engineer - Snowflake

Pearl Technologies invests time and support into its employees to provide them with the opportunity to learn and develop their expertise and progress in their careers. We are an organization with an entrepreneurial mindset that welcomes and supports individual ideas and strategies. We are currently expanding and seeking to recruit a motivated and experienced Data Engineer to our team in India. Responsibilities: Understand the business requirements and processes for advanced analytics model execution. Develop end-to-end data pipelines from ingestion to visual analytics using Python, SQL and Snowflake. Manage, enhance, maintain and support our Snowflake-based data lake. Assist our business intelligence developers in delivering impressive visual analytics. Develop, maintain and support our library of analytical functions written in Python, SQL and Snowflake. Participate in our fast-paced, agile data cycles to deliver new capabilities promptly. Utilize key features of Snowflake for processing, entitlements, ingestion, transformation, and data sharing. Collaborate with data scientists, financial data analysts, software engineers and other data engineers to implement powerful solutions that leverage the cloud, big data, Natural Language Processing (NLP) and Machine Learning (ML). Construct machine learning models with advanced analytics techniques to expand our capabilities and deliver new business value. Capture and present data-driven business insights. Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation and model implementation. Work closely with software engineering teams to promote real-time model implementations and the creation of new features. Exploit existing data sources, identify, and extract data from new sources, identify opportunities for and execute primary data gathering efforts, and offer recommendations on how to scale new methods more extensively. Requirements A university degree or similar in data analytics, statistics, mathematics, or computer science, with a minimum of 3 years of relevant experience. Must be Snowflake Certified or have experience with Snowflake. Excellent knowledge of Python and SQL. Experience with Azure ML Studio is preferred. Substantial experience in big data processing and the creation of Python and SQL for large amounts of data. Significant experience with unit and integration testing. Excellent analytical, storytelling, and problem-solving skills. Ability to interpret and communicate analytics recommendations to both technical and non-technical team members. Strong understanding of quantitative (univariate and multivariate) analysis techniques. Experience with predictive modeling and machine learning. Significant experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R or similar tools. Experience using scripting language to collect, organize and manipulate data. Ability to work with data with significant ambiguity, develop imaginative approaches to analytical problems, and interpret data and results from a business/industry perspective. Benefits Competitive Salary. Career Growth.