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.
Band & Designation
Data Engineer
City & Country
Rahway NJ/ WestPoint PA
Primary & Secondary Skill SQL/Python/Data Engineer/AWS JD (Detailed) 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 model...
Primary & Secondary Skill
SQL/Python/Data Engineer/AWS
JD (Detailed)
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.