Job Title: Data Engineer Location: REMOTE Duration: 6/12 Months Required Technical Skills: More than 8 years' experience implementing data solutions Strong proficiency in Java, Python and kotlin with an emphasis in building data pipelines Experience in big data technologies like HDFS, YARN, Map-Reduce, Kafka, Spark, Airflow, etc. Experience in working with Google Internal tools like PLX, CiderV, Buganizer etc. Experience with Apache Airflow, Google Composer and dataflow Experience with Cloud platforms such as GCP, Azure Ability to write complex SQL to perform common types of analysis and aggregations Experience with Data Visualization Applications. Looker is a plus Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables Detail-oriented and document all the work 5+ years professional experience as a data or software engineer BS in Computer Science; MS in Computer Science preferred GCP solution architect - certified, is a plus Responsibility of / Expectations from the Role Data modeling/Data warehouse modernization/Cloud based data lakes Create and maintain optimal data pipeline architecture Define technical roadmap for data platform modernization and analysis and assessment of the existing data platforms Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google cloud 'big data' technologies. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Define KPIs for successful modernization of data platform and measure the improvement against the KPIs. Share your resume to noman.m@falconpls.com