Data Engineer at Digipulse Technologies Inc

Job description

POSITION DESCRIPTION Critical role in designing, developing and maintaining scalable data pipelines, data sets, and systems for the company’s data infrastructure. Will be collaborating with stakeholders to understand data requirements; Develop ETL (Extract, Transform, Load) processes to change raw data into usable formats for analysis, use and cost effectiveness utilizing techniques such as partitioning, indexing, and caching; Design and implement data models to support the business analytical and reporting needs; ensure data integrity, consistency, and performance and identify errors and performance issues; perform data quality checks for accuracy and consistency of data across systems and platforms; Work closely with business analysts/software engineers to understand their data needs and provide technical expertise and support. Document data pipelines, processes, and best practices for knowledge sharing and future reference; Identify and resolve issues to ensure uninterrupted data flow and availability. Relocation/ telecommuting may be required plus travel to various unanticipated client locations within the United States for short- and long-term assignments. LANGUAGES, SKILLS AND TOOLS Any suitable combination of the following tools: SQL, SAS, Python, PyCharm, Hive, Tableau, GitHub, Jira, MySQL, Oracle, PL/SQL, MongoDB, Informatica ETL, AWS, Databricks, Azure Data Factory, Apache-Airflow, Flask, Docker, Kubernetes, Jenkins, Splunk, Snowflake, SAS, Google Analytics, Supervised and Unsupervised Machine Learning Algorithms, K-Means, SVM, Statistics, KNN, Time Series Forecasting, Survival Analysis, ETL, Business Intelligence, Text Mining, Clustering, Cross-Validation, Support Vector Machine, Decision Tree, Random Forest, A/B Testing, Market Basket Analysis, Linear Discriminant Analysis, Gradient Boosting, Bagging, Natural Language Processing, Sentimental Analysis, Data Modeling, PCA EDUCATION Master’s degree in computer science/computer applications/business Analytics/Technology/Engineering (Mechanical/ I.T./Electrical). Will accept bachelor’s degree in computer science/computer applications/business Analytics/Technology/Engineering (Mechanical/ I.T./Electrical) plus five (5) years of progressive experience in related fields in lieu of master’s degree. Will accept foreign education equivalent.

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sqlpythonjiraawsazuredockerkubernetesmachine learning

Platform: digipulse
Effort: medium