Data Engineer - Full Remote Working from anywhere in the US
SQL+Python+ETL+Airflow
Our client is a global leading high tech company:
-Over 6,500 employees across 20+ offices;
-Fast growing;
-Cutting edge AR and VR technologies, 3D printing, etc.
They are looking for a Data Engineer to join their FinTech team!
You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets.
-Technologies: SQL, Python, ETL, Big Query, Spark, Hadoop, vision control systems such as Git, workflow management tools such as Airflow, Data Architecture, Data Warehousing
-Design and develop scalable ETL pipelines to automate data processes, optimize delivery, and comply with privacy and governance standards.
-Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation.
-Develop tools and systems to address limitations in data consumption portals.
-Implement and maintain robust data security practices
Requirements:
-5+ years of experience in SQL
-5+ years of development in Python
-MUST have experience in Apache Airflow
-Experience in Google BigQuery, Spark, and Hadoop is a big plus
-Experience with ETL tools, data architecture, and data warehousing solutions
-Strong communication skills
W2 employer full time contract, initially till the end of 2025 with the option to extend yearly. Offer up to $70 an hour (40 hours per week, Mon-Fri) plus 50% contribution to medical plan, sick leave and federal public holidays as PTOs. Full remote working from anywhere in the US.
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