A well developed company is hiring a Data Engineering for their team.

Responsibilities

• Build data models & ETL pipelines for getting, processing, and delivering data that will make more data driven
• Work with engineering, data science and product management teams to build and manage a wide variety of data sets
• Partner with business teams and stakeholders across the organization to understand their data and analytics needs and design/publish dashboards and reporting that allow them to execute more effectively
• Run ad-hoc queries & exploratory data analyses that lead to actionable insights and/or forms basis for advanced analytical experiments
• Automate data processes; simplify and democratize access to useable data throughout the company
• Become an expert on all aspects of data and analytics infrastructure
• Be the driving force behind the adoption and effective use of our data platform and BI tools within every team

Requirement

• Degree in Computer Science or Engineering or related discipline, with 3+ years’ work experience
• Expert knowledge in database technologies, which means excellent in SQL and a good understanding of trade-offs in building data models
• Experience building ETL pipelines and use of data ingestion and management tools such as Talend, Collibra, BlueTalon, etc.
• Coding proficiency and experience in at least one modern programming language (e.g. Python, Java, Spark etc.)
• Experience with Hadoop, Amazon S3 or other big data /object storage technologies.
• Experience in designing and publishing dashboards using visualization tools like Qlikview, QlikSense, PowerBI etc.
• Experience with streaming data pipelines using any of Kafka, AWS Kinesis, Spark streaming etc.
• Knowledge of/ experience working with statistics and/or Machine learning/predictive analytics/decision models/data mining libraries as well as the tools for developing such (Python/Pandas, R etc.)