Data Engineer
İstanbul, İstanbul, Turkey
OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. We combine design, engineering and analytics expertise to provide personalized Big Data / AI services offering that corresponds to local challenges with global standards and help empower our clients with reliable data-driven decision making solutions.
When you join OREDATA team, you’ll be working hand-in-hand with experts focused in 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 a fast-growing, big data company looking for talented Data Engineers. This is an opportunity where one can advance their skills by working with the most leading-edge technology and people in the industry.
Key Responsibilities
- Design and help implement data engineering for task automation.
- Be responsible for laying the foundation for the platform as well as proposing solutions to ease software development.
- Implement statistical concepts and techniques to analyze experiments and user behavior.
- Work with stakeholders, product managers, developers, and other stakeholders to develop and review designs and business requirements.
- Complete all assigned tasks/projects adhering to timelines and meeting all deadlines.
- Prepare technical documentation and operational guidelines and perform handover to operation teams.
Skills and Experience
- Bachelor's Degree in Computer Engineering/Science, Electrical & Electronics Engineering or equivalent practical experience.
- Willingness to learn more about new languages and frameworks
- Creative and innovative problem-solving skills
- Good team player, result-oriented attitude, and analytical mind
- Advanced level of English
- No military obligation for male candidates for at least 2 years
Preferred qualifications
- Experience building and optimizing reliable, idempotent data pipelines (streaming or batch) using ETL tools such as Matillion, Apache NiFi, Kafka, and Spark.
- Prior development or technical knowledge and skills with Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience with relational SQL and NoSQL Databases; MS SQL, PostgreSQL, Snowflake, Cassandra, MongoDB, MySQL, MariaDB, Elastic stack.
- Cloud experience, preferably with Microsoft Azure and/or Google Cloud Platform (GCP), ideal.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with Reporting tools: Cognos, PowerBI, Tableau, etc
- Strong Oracle background including Data Architecture, PL/SQL, ODI, and OBIEE.
- Analysis and Integration of new data resources according to data mappings.
- Ability to gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
- Define and achieve the roadmap for the Data Warehouse, Reporting and Analytics (Visualization) teams.
- Architect and design extensions to the data warehouse, data marts, and data integrations to support BI projects and the BI roadmap.
- Keep management apprised of trends, best practices, and issues related to business intelligence, data warehousing, and associated emerging technologies.
- Creation of required Database objects.
- Solid foundation in computer science, with competencies in data structures, algorithms and software design.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs Architecture Azkaban Azure Big Data Business Intelligence Cassandra Computer Science Consulting Consulting firm Data pipelines Data warehouse Data Warehousing Engineering ETL GCP Google Cloud Kafka MariaDB Matillion MongoDB MS SQL MySQL NoSQL Oracle Pipelines PostgreSQL Power BI Python Scala Snowflake Spark SQL Statistics Streaming Tableau
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