Senior Data Engineer

  • Remote - Turkey

Remote

Data

Senior

Job description

OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you’ll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.

We are currently looking for a Senior Data Engineer on behalf of our client, a leading company in the aviation industry.✈️

Read more: https://medium.com/@oredata-engineering

Apply and be part of our exciting journey! 🚀

Key Responsibilities

  • Responsible for developing and maintaining customer profile management system, including data integration, data modeling and data migration.

  • Responsible for monitoring, measuring and improving the quality of customer profile data metrics and reducing any redundancy in the system.

  • Responsible for defining and enforcing policies and procedures for managing data assets, including product data quality, data stewardship, and reference data security.

  • Responsible for ensuring the accuracy, completeness and consistency of customer profile data across the organization

  • Responsible for analyzing customer profile data and data sources and identifying trends and patterns that can be used to improve business processes and operational efficiency,  including data-driven decision-making

  • Design, develop, implement, and support our emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling, and reporting capabilities

  • Design and implement new or enhanced data processes, tools or models

  • Working with stakeholders, provide operational and process execution and ongoing user support

  • Write a query to do almost anything

  • Process unstructured data into a form suitable for analysis – and then do the analysis if needed.

  • A bachelor’s degree or master’s degree in computer science, information technology, data engineering, software engineering, or a related field is preferred

  • Minimum 5 years of experience in a data-related role is expected for a data engineer role

  • Strong programming skills and proficiency in programming languages such as [Python, Java, Scala] are essential

  • Knowledge of data engineer skills such as data management, data visualization, and familiarity with data architecture is important

  • Experience in data processing frameworks like [Apache Spark, Apache Hadoop, or Apache Flink] is beneficial for handling and processing large-scale data sets efficiently

  • Database and query language expertise is preferred in database systems like [SQL, NoSQL]

  • Experience working with large volumes of metadata and schemas

  • Hands-on experience in designing, developing, and optimizing ETL processes using IBM DataStage or similar ETL tools such as informatica PowerCenter, Talend, or Apache NiFi.

  • Understanding how the role complements others working with [machine learning, data science, algorithms, business intelligence] is beneficial for collaboration

  • Experience with Message Broker Systems : Kafka, etc

  • Experience with data pipeline and workflow management tools: Airflow, Azkaban, Luigi,  etc.

  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.

  • Data warehousing knowledge, data modeling, cloud computing familiarity such as [AWS, Azure], and data security and governance understanding are all essential for the role

  • While not mandatory, data engineer certifications such as [Certified Data Engineer (CDE) or AWC Certified Big Data] are beneficial

  • Remote working and flexible time off

  • Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)

  • Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)

  • Opportunity to work on international projects

  • Private Health Insurance

  • Birthday Leave Policy

  • Dynamic work ecosystem where you can take initiative and responsibility

  • Open communication, flexibility and start-up spirit

  • Learning & Development opportunities for both personal and professional growth

Get to know us

If you want to know more about us and what we do, then visit our website: www.oredata.com

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