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Job Details

100% Remote - Data Engineer with Strong SQL Development

  2024-10-29     Technogen     all cities,AK  
Description:

Role: Data Engineer with Strong SQL Development (SQL query writing and Performance tuning)

Location: Remote - Any EST location

Duration: 6-12 months

Job Description - Qualification :

BS/BA in technical field, Computer Science, Mathematics or relevant work experience and/or training

Strong SQL development skills

SQL query writing

Performance tuning

Understanding of data warehousing design concepts and data modeling

Experience applying OOP concepts to data applications

Experience programming in Python

Experience with distributed data processing tools such as Apache Spark

Experience in data analysis

Experience with visualization tools (e.g. Power BI, Qlik, Tableau)

Experience with API development is a plus

Excellent verbal and written communication

Responsibilities :

Working with other members of the team, translate business requirements into data access plan

Analyze and organize raw data in various tabular and semi-structured formats

Design and build data processing pipelines to meet business requirements

Combine raw information from different sources

Explore ways to enhance data quality and reliability

Assembling large, complex sets of data that meet non-functional and functional business requirements

Participate in the design and implementation of infrastructure that supports data system needs

Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies

Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition

Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues


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