Role: Remote Data Engineer

Length: 12 months extension

Location: 100% Remote

Job Description:

Key Responsibilities:

• Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured).
• Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues.
• Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users.
• Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages.
• Designs and implements physical data models to define the database structure.
• Optimizing database performance through efficient indexing and table relationships.
• Participates in optimizing, testing, and troubleshooting of data pipelines.
• Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others).
• Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
• Assists with renovating the data management infrastructure to drive automation in data integration and management.
• Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members

Skillset:

• Hands-on Azure Data experience
  • Tools to have: Databricks, Synapse, Data Factory, etc.
• High functional knowledge of Big Data
• Hands-on experience automating the ETL process
  • No specific tool is required: Jenkins preferred
• Scala or PySpark knowledge (Scala preferred)