Remote Data Engineer
2 weeks ago
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)
Required Skills : This candidate must possess skills in the Azure Data platform. This client is looking for a mid-level Data Engineer. They must be skilled in Azure Data Bricks, Data Factory, and Data Lake. This candidate should also have an exposure to Big Data. This position is a with a long-term client. This opportunity is great for a candidate who is strong technically and is looking to expand on their career. Our previous resource was on with this client for 2 years and is being rolled off due to tenure limits.
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