doodleblue Innovations - Data Engineer

Job Description : Role & Responsibilities : - Understand and analyze client's business requirements to design and implement effective data solutions. - Create and optimize data models to support client reporting and analytics needs. - Proactively communicate with clients to provide project updates and address any issues or concerns. - Provide mentorship and guidance to junior team members. - Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Requirements : - 5 years of experience in data engineering/analytics, with a proven track record of successfully delivering end-to-end data solutions. - Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development. - Experience in designing, developing, and deploying machine learning models into production environments. - Proficient in supervised and unsupervised learning techniques, such as regression analysis, tree-based models, and neural networks. - Experience in working with ML modules such as scikit-learn, tensorflow - Proficiency in SQL and Python for data manipulation and analysis. - Experience in working with python modules such as pandas, numpy, matplotlib - Strong understanding of business processes with a proven ability to collaborate with cross-functional teams, identify pain points, and implement data-driven solutions. - Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus. - Experience with modern data stack tools (such as fivetran,dbt) - Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision. (ref:hirist.tech)

Location: in, IN

Posted Date: 5/1/2025