Data Engineer - AWS

October 24

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Description

• 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.

Requirements

• 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.