Minimum of 5+ years of experience as a data engineer or in a similar role., Advanced SQL skills and experience with relational databases and database design., Strong Python skills with hands-on experience in data-related libraries like Pandas and NumPy., Experience with cloud Data Warehouse solutions and Big Data technologies such as Spark and Hadoop..
Key responsibilities:
Contribute to data analytics projects that provide competitive advantages for clients.
Design and manage data pipelines and workflows using tools like Airflow.
Work with cloud data engineering services and ensure effective data management.
Guide and mentor other data engineers within the team.
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PointAbout is now 3Pillar Global.
VIsit us at http://www.3pillarglobal.com. You can also follow us on http://www.linkedin.com/company/3pillar-global
The company creates iPhone, iPad, Android, Blackberry, and Windows Phone 7 applications for brands as well as enterprise internal use. We've designed and developed native applications for clients like the Social Security Administration, US Army, The Outdoor Channel, PBS, Arinc, the Washington Post, Intelsat, Carfax, Huffington Post, OnStar, Cars.com, and many others. We provide mobile strategy planning, advisory, ideation, mobile product concepting, and feature/release planning for consumer and enterprise mobile.
At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective Industries. if your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! 🔮🌐
Minimum Qualification
Demonstrated expertise with a minimum of 5+ years of experience as data engineer or similar role
Advanced SQL skills and experience with relational databases and database design.
Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).
Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries
Experience with Big Data technologies like Spark, Map Reduce, Hadoop, Hive etc
Proficient in data pipeline and workflow management tools e.g. Airflow