Senior Principal Software Engineer - Business Intelligence Job in Accion Labs
Senior Principal Software Engineer - Business Intelligence
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
- Permanent
Role Summary You will be responsible for taking the data that a company holds and mining it to achieve valuable insights. These insights are then used to inform critical business decisions. The insights play a crucial role in shaping the company's future and the way it operates. Skillset Must Have: 8+ years of experience in data engineering with an emphasis on data analytics and reporting. 2+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others. 5+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc 5+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines. 3+ years of experience with one or more of the following scripting languages: Python, SQL, Kafka and/or other. Good to have: 2 years of experience in Master Data Management 2 years of experience in Data Matching (manual as well as Machine) 1+ years of experience in DevOps/DataOps/MLOps on AWS 1+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. Exposure to Machine Learning models in NLP and pattern recognition Job Responsibilities Understanding business requirements and solutionize data products in order to solve them. Identifying creative solutions in order to build relevant training data sets. Working closely with our data engineers in order to productionize models. Work on a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization. Articulates solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively.
Fresher
2 - 4 Hires
