BOLD is seeking for Big Data Engineer to join our growing team of analytics experts We are looking for a savvy will be responsible for expanding and optimizing our data and data pipeline architecture as well as optimizing data flow and collection for cross-functional teams ABOUT THIS TEAM The Data Engineering department at BOLD is responsible for discovering patterns and trends in datasets to get insights creating predictive algorithms and data models improving the quality of data or product offerings by utilizing machine learning techniques distributing suggestions to other teams and top management and using data tools such as Python and SQL The BigData team actively collaborates with other vertical teams such as Engineering Portals BI Product Legal Most of the projects are focused around problems that require a mix of natural language processing and machine learning Some of the active projects are resume parsing ranking summary generation data quality and scoring content generation job recommendations and conversion analysis Apart from the business initiatives the team also explores state of the art methods and keeps them upto to date with technology WHAT YOU LL DO Work closely with leadership to define the long-term architectural approach for our growing big-data needs Design implement and support in cooperation with our architects and data scientists a platform that can provide structured and ad-hoc access to large datasets Help develop end-user features with Product and Development teams Maintain and improve existing data-related functionality including logging ETL pipelines and business reporting Translate business requirements and develop end to end solution Develop and maintain end-to-end flow of data ingestion and data management pipelines on Data Lake WHAT YOU LL NEED 3 years of work experience in big-data applications Expertise in Java Python Spark PySpark Scala In depth knowledge of Apache Spark Core SQL Expertise in writing complex optimized SQL queries