Data Engineer | Snowflake & AWS Glue
Discover TECKNOWORKS
TECKNOWORKS is a global technology consulting firm dedicated to optimizing client productivity and profitability. We empower businesses, from
- sized enterprises to international corporations, with innovative tech solutions.
At TECKNOWORKS, we foster a culture of impact, enabling clients to excel through technology and innovation in their business and personal lives. Our commitment to team growth,
- taking, and unwavering quality sets us apart, making us a company of excellence and delivering exceptional results.
Job Overview:
We are looking for a qualified Data Engineer with expertise in Snowflake, Databricks, DBT, Azure, and AWS Glue. The ideal candidate will have a solid background in ETL processes, data lake development, and SQL and be knowledgeable about various
- based tools and technologies.
Requirements
Use Python to create and manage ETL pipelines.
Create, improve, and optimize data lakes for effective storage and access of large amounts of data.
Work with different teams to understand data needs and deliver scalable solutions.
Use ETL tools such as Glue, Azure Data Factory, and SSIS to simplify data ingestion and transformation processes.
Establish and maintain data governance and quality standards within the organization.
Improve data processing workflows for performance and cost efficiency in cloud environments.
Keep up with new technologies and best practices in data engineering and analytics.
Key skillset:
Demonstrated skills in data engineering positions with a focus on Python development.
Strong skills in SQL for data manipulation and querying.
Practical experience with ETL tools such as Glue, Azure Data Factory, and SSIS.
Exposure to cloud platforms, AWS and Azure.
Experience with general AWS tools such as S3, Athena, and Glue.
Experience with creating and improving data lakes for
- scale applications.
Capacity to work independently and cooperatively in a
- paced environment.
Excellent communication and
- solving skills.
We invite you to apply for this role if you have a strong interest in data engineering and enjoy working in a
- paced environment. Be part of our team that uses data to improve
- making. We are eager to hear from you!
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