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Job Description
- Data Integration: Collaborate with data engineering and data science teams to understand data requirements and source data from various internal and external systems. Implement data extraction, transformation, and loading (ETL) processes to ensure a smooth flow of data into the data warehouse.
- Data Pipeline Development: Assist in designing and building scalable, robust, and maintainable data pipelines that collect, process, and store data from different sources. Work with technologies like Apache Spark, Apache Kafka, or other relevant tools.
- Data Quality Assurance: Contribute to the development and implementation of data quality checks and validation procedures to ensure data accuracy, consistency, and completeness.
- Database Management: Help manage and maintain databases, ensuring data integrity, security, and high availability. Monitor database performance and troubleshoot issues as they arise.
- Documentation: Document data engineering processes, data pipelines, and system configurations to facilitate knowledge sharing and ensure that the data infrastructure remains well-documented.
- Automation: Identify opportunities to automate repetitive tasks and processes within data engineering workflows, enhancing efficiency and reducing manual efforts.
- Data Governance: Adhere to data governance and security policies, maintaining data privacy and confidentiality throughout all data-related activities.
- Collaborative Projects: Collaborate with cross-functional teams on data-related projects, supporting their data needs and contributing to the success of company initiatives.
- Continuous Learning: Stay updated with the latest advancements in data engineering technologies and practices, and proactively apply this knowledge to improve data engineering processes.
- Enrolled in a bachelor’s or master’s degree program in Computer Science, Data Science, Information Technology, or a related field.
- Familiarity with programming languages like Python, Java, or Scala.
- Basic understanding of databases and SQL.
- Knowledge of data integration and ETL concepts.
- Experience with big data technologies is a plus.
- Analytical mindset and attention to detail.
- Strong problem-solving skills and the ability to work independently and in a team.
- Good communication skills and the ability to collaborate effectively with various stakeholders.
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- An international and multicultural environment where diversity and inclusivity are celebrated and embraced
- Professional educational opportunities and training program
- Innovation sabbatical
- Volunteer Day
- State of the art office space
- On the job coaching and mentoring
- Flexible work arrangements – via our Work Hard Anywhere policy.
- Some of us run city marathons and even go on snowboarding trips together!
- Casual Friday? Casual every day!
- US$ 500 net for your home office setup after you passed your trial period
- And many additional perks customized to global locations (canteen, fresh fruit, amazing coffee, parking, on-site gym, yoga room to name a few)
Skills
CoachingData ExtractionData GovernanceData IntegrationData QualityData ScienceDesigningEtlImplementationInnovationKnowledge SharingPythonQualitySqlTrainingTransformationIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
02 Nov 23, 01:25 PM IST
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