Permanent WFH AWS Senior Data Engineer

Job Role & Responsibilities: Design, implement, and improve the analytics platform Implement and simplify self-service data query and analysis capabilities of the BI platform Develop and improve the current BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility Deploy and use various big data technologies and run pilots to design low latency data architectures at scale Collaborate with business analysts, data scientists, product managers, software development engineers, and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms. Candidate Profile: 7+ years relevant experience Expert level skills writing and optimizing complex SQL Knowledge of data warehousing concepts Experience in data mining, profiling, and analysis Experience with complex data modelling, ETL design, and using large databases in a business environment Proficiency with Linux command line and systems administration Experience with languages like Python/Java/Scala Experience with Big Data technologies such as Hive/Spark Proven ability to develop unconventional solutions, sees opportunities to innovate and leads the way Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on projects involving creation of data lake or data warehouse Excellent verbal and written communication. Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms. Ability to effectively communicate with multiple teams Good to have AWS/GCP/Azure Data Engineer Certification