Data Engineer

Skills: GCP, Data Analytics, Big Data, PowerBI, Tableau Candidate Industry: Data Engineering / IT / Technology

Education and Certification

Qualification:

Bachelor s degree in Engineering, Computer Science, Information Technology, or a related field

Detailed Job Description:

Design, develop, and support data engineering solutions using GCP, Big Data, NoSQL, and relational/non-relational databases.

Work with various data stores including document, column-family, graph, and other distributed database technologies.

Develop and maintain data solutions using GCP tools such as BigQuery and BigTable, along with technologies such as HBase and Hive.

Design and develop database schemas, including XML/JSON schema development and reuse.

Perform database development and support for OLTP and OLAP systems.

Develop complex SQL queries and perform SQL query performance tuning and optimization.

Work with data modeling tools such as ERStudio and ERWin.

Develop data analytics and reporting solutions using Power BI and/or Tableau.

Apply knowledge of distributed systems, algorithms, and multi-tiered application architectures.

Work on database administration, data maintenance, replication, high availability, encryption, storage formats, and data management processes.

Collaborate with technical and business teams to deliver scalable and reliable data solutions.

Follow software delivery methodologies such as Agile, Scrum, TDD, or Waterfall.

Contribute to infrastructure design and performance optimization, including storage and network-attached infrastructure.

Key Skills:

GCP | Data Engineering | Big Data | NoSQL | SQL | BigQuery | BigTable | HBase | Hive | Power BI | Tableau | Data Modeling | ERStudio | ERWin | Database Development | SQL Performance Tuning | OLTP | OLAP | XML | JSON | Distributed Systems | Relational Databases | Non-Relational Databases | Agile/Scrum