Data Engineer

Discover TECKNOWORKS

TECKNOWORKS is a global technology consulting firm dedicated to optimizing client productivity and profitability. We empower businesses, from mid-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. We are committed to your growth, encouraging risk-taking and unwavering quality. This sets us apart, making us a company of excellence and delivering exceptional results.

We’re looking for a proficient Data Engineer who can play easily with multi-clusters of data, data architecture, and data management in general in Snowflake and AWS Cloud Platform.

As a Data Engineer, you’ll implement and support solutions that allow the customer to unify different data streams, data quality, data storage, and data exposure assets for different markets.

Your responsibility will be:

• To collaborate constantly with architects, engineers, and business teams to understand business requirements and deliver solutions that meet the needs.
• To build data pipelines, data transformations, processing, quality, crunch, and curation following documented business and technical requirements.
• To develop analytical solutions, taking full responsibility for data engineering.
• To build the data models and data flows for the analytical solutions and integrate the Data Science routines into the models as required.
• To implement standard methodologies within the Analytical Solution department.
• To stay current with the latest trends and technologies in cloud computing and data engineering.

Knowledge and Skills:

• Experience in integrating data into analytical platforms, ingestion technologies, data profiling, source-target mapping, ETL development, SQL optimization, testing, and implementation.
• Experience in leading and deploying data solutions on cloud platforms like AWS together with other services used such as Lambda, S3, Redshift, Glue, and DynamoDB.
• Experience in large-scale data warehousing and analytics utilizing Snowflake.
• Experience in programming languages like Python, Java or Scala.
• Experience with databases (SQL and NoSQL), data processing frameworks (such as Hadoop, Spark, and Kafka), and cloud platforms.
• Experience in managing structured and unstructured data and driving value from big data and data modeling.
• Track record of working in Agile teams to deliver results against challenging timescales.
• Experience with Matillion is a plus.

Certifications in Cloud technologies and data engineering, e.g., AWS, Snowflake, and Data Warehouse, are a plus.