What are the responsibilities and job description for the Python Senior Technical Lead position at Shrive Technologies?
Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms (AWS), and big data technologies (Spark, Kafka, Hadoop).
Key skills include data modeling, ETL/ELT pipeline construction, data warehousing and orchestration tools like Airflow. Strong problem-solving, collaboration, and data governance skills are crucial. Collect, process, and analyze large datasets to extract meaningful insights.
Design and conduct experiments to test hypotheses and validate data-driven solutions.
Collaborate with cross-functional teams to identify data needs and align strategies with organizational goals.
Create templates, dashboards and visualizations to communicate findings effectively to stakeholders.
Ensure data integrity and accuracy through cleaning, preprocessing, and validation techniques.
Optimize data collection and storage processes for efficiency and scalability. Knowledge on Manufacturing process is preferred.
Key skills include data modeling, ETL/ELT pipeline construction, data warehousing and orchestration tools like Airflow. Strong problem-solving, collaboration, and data governance skills are crucial. Collect, process, and analyze large datasets to extract meaningful insights.
Design and conduct experiments to test hypotheses and validate data-driven solutions.
Collaborate with cross-functional teams to identify data needs and align strategies with organizational goals.
Create templates, dashboards and visualizations to communicate findings effectively to stakeholders.
Ensure data integrity and accuracy through cleaning, preprocessing, and validation techniques.
Optimize data collection and storage processes for efficiency and scalability. Knowledge on Manufacturing process is preferred.