Description: Our customer is one of the world’s leading media and entertainment companies in the development, production, and marketing of entertainment, news and information to a global audience. Requirements: All candidates must meet the qualifications below: A minimum of 5 years of Data engineering experience is required.Experience with AWS, and Python is required.Working experience in building Data Marts and Data Modeling.Deep Experience and understanding of SQL (MySQL, Postgres, Redshift).Experience with any ETL (Airflow, Boomi) tools is required.Experience with BI Tools is a must (such as Periscope, Sisense, Tableau). Desired qualifications are as follows: ETL (Airflow, Boomi, Stitch) toolsPython ProgrammingBI Tools (such as Periscope, Sisense, Tableau)Database (Redshift)AWS (S3 bucket, DMS, Lambda)Past working experience with Finance Data is highly desirable, good understanding of payments, refunds, revenue data. Job Responsibilities: In this role as part of the Data Engineering Team, you work to manage the full lifecycle of data warehousing needs. Data warehouse and data operations are built on top of Amazon Web Services using a modern data warehousing stack which includes the use of Amazon Redshift, Apache Airflow and Sisense for reporting.In delivering the key priorities of the role, the Data Engineer will: Work within a small team of passionate data scientists and data engineers.Contribute to the management of the day to day operations of running our Data Warehouse.Build data pipelines and ETLs for loading source system data into the data warehouse for further reporting and analysis.Assist in building scalable data models to support reporting and tracking of key business and product metrics.Build, analyze and manage reports and dashboards for business stakeholders.Help identify better practices, tools, and relevant trends that can positively influence the data operations across the business. What We Offer Exciting Projects: With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies. Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.Professional Development:We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.Excellent Benefits: We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies and cultural activities.Fun Perks:We want you to feel comfortable in your work, which is why we create good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!
Lead Data Engineer in Bucuresti
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