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Data Warehouse Engineer
1 week ago
We are seeking a highly skilled andmotivated Data Warehouse Engineer to join our team. As a DataWarehouse Engineer, you will play a critical role in designing,developing, and maintaining our data infrastructure, ensuring theavailability, scalability, and reliability of our data systems. Youwill collaborate closely with cross-functional teams, includingdata scientists, analysts, and software engineers, to supportdata-driven decision-making and enable the efficient processing oflarge-scale data.
WhatYou'll Do
- Design and develop robust, scalable,and high-performance data pipelines and ETL processes to extract,transform, and load data from various sources into our datawarehouse or data lake.
- Collaborate withstakeholders to understand their data requirements, and design andimplement appropriate data models and database schemas to supporttheir needs.
- Optimize data pipelines and ETLprocesses for performance and efficiency, ensuring timely andaccurate data delivery to end-users.
- Monitor,troubleshoot, and resolve issues related to data quality, dataconsistency, and data integrity, ensuring the reliability andcorrectness of our data systems.
- Define,implement, and manage data quality processes and strategies,including monitoring, validation, and cleansing, to ensure thedelivery of high-quality data acrosssystems.
- Collaborate with data scientists andanalysts to provide them with the necessary data infrastructure andtools for conducting advanced analytics and derivinginsights.
- Stay up-to-date with the latesttrends and technologies in data engineering and recommendinnovative solutions to improve data engineering processes andsystems.
- Document data engineering processes,data flows, and system architectures to ensure knowledge sharingand maintain an up-to-date repository of technicaldocumentation.
- Work closely withcross-functional teams, including software engineers andinfrastructure teams, to optimize data infrastructure and ensureits seamless integration with other systems.
- Bachelor's degree in ComputerScience, Engineering, or a related field.
- 7+years of relevant experience as a Data Engineer or in a similarrole, working with large-scale data processing and ETLpipelines.
- Strong programming skills inlanguages such as Python, Java, or Scala, with experience in datamanipulation and processing frameworks like ApacheSpark.
- Experience with SQL and databasetechnologies (e.g., relational databases, SQL queries, datamodeling).
- Proficiency in working with big datatechnologies such as Hadoop, Hive and knowledge of distributedsystems and cloud computing platforms (e.g., AWS, Azure,GCP).
- Familiarity with data integration andworkflow management tools such as ApacheAirflow.
- Knowledge of data warehousing conceptsand experience with data warehousing solutions is highlydesirable.
- Strong analytical andproblem-solving skills, with the ability to analyze complexdata-related issues and propose effectivesolutions.
- Excellent communication andstakeholder management skills, with the ability to work effectivelyin a cross-functional teamenvironment.
- Attention to detail and a strongcommitment to delivering high-quality work within establishedtimelines.
What We'llProvide You
We offer colleaguesthe opportunity to drive impact in the region while they learn andgrow. As a full time Careem colleague, you will be ableto:
- Work and learn from great minds byjoining a community of inspiringcolleagues.
- Put your passion to work in apurposeful organisation dedicated to creating impact in a regionwith a lot of untapped potential.
- Explore newopportunities to learn and grow every day.
- Work4 days a week in office & 1 day from home, and remotelyfrom any country in the world for 30 days a year with unlimitedvacation days per year. (If you are in an individual contributorrole in tech, you will have 2 office days a week and 3 to work fromhome.)
- Access to healthcare benefits andfitness reimbursements for health activities including gym, healthclub, and training classes.
Warehouse Operations,Warehouse Supervision,DataWarehouse
Employment Type : Full-time
Department / Functional Area: Engineering
Experience: years
Gender: Male
Vacancy: 1