Data Engineer - Deriv

Job Information Job Opening ID ZR1090JOB Date Opened 29/10/2024 Industry Business Intelligence Job Type Full time City Dubai Country United Arab Emirates Are you ready to revolutionise the way we build data At Deriv were looking for a talented Data Engineer to spearhead our digital transformation initiatives. In this role youll lead the organisation in cultivating a datadriven culture as our company moves toward the future. As a key technology team member youll be responsible collecting meaningful data and analytics to deeply understand our consumers and build more valuable products and services. What you do is incredibly important in driving smart marketing decisions optimising our business and increasing profitability. On a given day you will: Ensure data integrity while extracting data from inhouse and thirdparty complex sources and manage its systematic storage. Responsible for data security accuracy and accessibility. Provide tangible business solutions and decisions using your expertise in the data engineering domain. Design and build highperformance secure and scalable company data warehouse and pipeline to support data science projects following best practices. Debug and resolve complex issues and recommend improvements to ensure a wellfunctioning ETL pipelined architecture. Transform raw data into easytouse tables for the Data Analysts. Keep uptodate on company products and new releases to efficiently plan changes in our data warehouse or pipelines. You may enjoy working with us if you: Have a good background in cybersecurity and data protection Proficiency in using data pipeline and workflow management tools such as Luigi Exposure to maintaining and monitoring database health and resolving errors Experience in managing stakeholders expectations and technical requirement gathering Familiarity with container technologies such as Docker A fintech background Requirements We would love to work with you if you: Have a minimum of 6 years of experience in the data engineering field Have expertise in data modelling techniques such as Kimball star schema Anchor modelling and Data vault Competence in objectoriented or object function scripting languages such as Python Proficiency in relational SQL and NoSQL databases preferably with PostgreSQL PITR Pgbasebackup WAL archival and Replication Familiarity with columnoriented storage or data warehouses such as parquet Redshift and Bigquery Indepth skills in developing and maintaining ETL/ELT data pipelines and workflow management tools such as Airflow Handson experience with Google Cloud Platform (GCP) services such as BigQuery scheduled queries Cloud Storage and Cloud Functions Familiar with alerting and selfrecovery methods concerning data accuracy Analytical skills with the ability to transform data into optimal business decisions Expertise in peer reviewing pipeline codes and suggesting improvements when required Experience in helping teams make informed business decisions with data Strong communication and presentation skills Fluency in spoken and written English Benefits Pay and Benefits We pay competitive salaries based on your skills qualifications experience and market rates. Additionally youll be eligible for an annual bonus based on individual and company performance. Youll also receive comprehensive health benefits including private medical insurance life insurance and health screenings. Youll get generous annual and parental leave and well cover the costs of professional development and education related to advancing your career at Deriv. Deriv is an equal opportunity employer committed to diversity and inclusion. We take pride in our Great Place to Work and IIP Platinum certifications which reflect our commitment to creating an exceptional work environment. Join us and help build the future of online trading while working alongside top talent from over 80 nationalities. This job has been sourced from an external job board. More jobs on Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1