Intermediate Data Engineer - OP01505

🟢 Join Dev.Pro - a US-based outsourcing software development company that has been delivering exceptional software experience to clients since 2011.

We invite a talented, organized, and reliable Data Engineer to join our team and play an important role in building a project that connects the art market with the digital-first financial ecosystem. Work with a global leader in artwork tokenization and blockchain-secured provenance, using your skills to contribute to innovative projects at the crossroads of the blockchain and art industries.

🟩 What's in it for you:

• Engage in an exciting blockchain-related project transforming the art market
• Work within a unique business domain that collaborates with world-class brands
• Join a dynamic no-legacy startup and contribute to building processes, tools, and products from scratch

✅ Is that you?

• 4+ years of experience in data engineering, encompassing data extraction, transformation, and migration.
• Advanced experience with data extraction from unstructured files and legacy systems.
• Proven expertise in migrating data from file-based storage systems to cloud storage solutions, ideally on Google Cloud Platform.
• Proficiency with relational databases, specifically MariaDB or MySQL, as well as cloud-native solutions such as Google Cloud Storage, Google BigQuery, and optionally Snowflake or Amazon Redshift.
• Strong programming skills in Python, with a focus on data manipulation, automation, and re-implementing custom tools.
• Extensive experience with ETL/ELT pipeline development and workflow orchestration tools (e.g., Apache Airflow, Luigi, Google Dataflow, Prefect).
• Hands-on experience with batch processing frameworks and real-time data processing frameworks.
• Experience with data pipeline development using programming languages, including batch processing implementation.
• In-depth understanding of data modeling, data warehousing, and best practices for designing scalable data architectures.
• Practical experience in developing or re-engineering data mastering tools for the purpose of data cleaning, standardization, and preparation.
• Expertise in RDBMS functionalities, such as stored procedures, triggers, partitioning, indexes, and structural changes.
• Ability to handle Personally Identifiable Information (PII) data within pipelines and data storage systems.
• Experience with NoSQL databases, such as MongoDB, Cassandra, or HBase.
• Experience with monitoring tools such as Prometheus, Grafana, and CloudWatch to oversee data pipelines and systems.
• Knowledge of best practices in database management, performance optimization, data security, and ensuring consistency across distributed systems.
• Ability to critically evaluate data architecture and provide strategic recommendations for infrastructure improvements.
• Upper-Intermediate+ English level

Desirable:

• Familiarity with JavaScript for maintaining or enhancing legacy systems and cross-functional integration.
• Experience with ElasticSearch for indexing and querying large datasets.
• Proficiency with analytical tools such as Tableau, Power BI, Looker, or similar platforms for data visualization and insights generation.
• Interest or background in the art industry, particularly related to digital asset management and tokenization.
• Demonstrated ability to collaborate in cross-functional teams and contribute to multidisciplinary projects.
• Experience with PostgreSQL and understanding its application in data engineering environments.
• Knowledge of specific services related to data engineering, including key metrics and business processes relevant to the industry domain.
• Experience with MLOps tools and practices to streamline machine learning deployment and operations.
• Basic understanding of existing machine learning models and algorithms.

🧩Key responsibilities and your contribution

As a Data Engineer, you will contribute significantly to the data team's efforts on a rapidly expanding project, helping to manage increasing workloads while maintaining high standards of quality and efficiency. Your key responsibilities will include:

• Taking full responsibility for the data warehouse and pipeline, including planning, coding, reviews, and delivery to the production environment.
• Migrating data from existing file storage systems to the Google Cloud Platform, including Google Cloud Storage and BigQuery.
• Designing, developing, and maintaining ETL/ELT pipelines to support data migration and integration.
• Collaborating with team members to re-implement existing custom data mastering tools, with a focus on imp