3+ year experience in Big Data on: parallel processing concepts; strength in data modelling and data migration; data analysis and analytics; ETL on large and complex data sets; distributed file systems, search engines; worked both with SQL & NoSQL databases; experienced with search engines; understand Hadoop ecosystem (HDFS, Yarn, Hue, Hive, Oozie); design and implement scalable ETL processes and workflows; evaluate business needs and objectives to set up the best data management environment; Mandatory Skills and Abilities Bachelors degree in Computer Engineering or Computer Science 4+ year of coding experience with modern programming or scripting language (Python/Java/Scala) Experience with AWS; experience using Google Cloud Computing Analytics and Big Query; Preferred Qualifications Linux, Docker; Experience with AWS cloud services including Big Data Technologies (Redshift, RDS, S3, Glue, Athena, Aurora, EMR, Spark, Hive, etc.); Experience working with Google Cloud Platform services – BigQuery and Data Studio is a plus; Demonstrated database development, Oracle, SQL Server, MySQL, Redshift, NoSQL and data warehousing; Experience using business intelligence reporting tools (AWS QuickSight, Power BI, Tableau, etc.); Previous experience working with Bitbucket Pipelines; Great level of autonomy and start-up spirit; Clear communicators to translate and understand complex information; Problem solvers and innovators; What we offer Attractive salary and benefits' package; Opportunity to work with the latest developments in the industry; Stay in touch with new technologies and trends, suggest business directions and solutions; Our company encourages and rewards new ideas that will benefit the working process and the company products; The company offers a remote and semi-flexible working schedule and supports the education of its employees;

regiune Moldova Chișinău mun.