November 19
Airflow
Amazon Redshift
AWS
Azure
Cloud
ETL
Google Cloud Platform
Hadoop
Java
Jenkins
Kafka
MySQL
NoSQL
Postgres
PySpark
Python
Scala
Spark
SQL
Go
• As a Senior Data Engineer, you will design, develop, and maintain data platforms. • Collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions. • Lead technical requirements gathering and delivery of projects. • Mentor junior engineers.
• 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. • Proficiency in programming languages like Python/Pyspark and Java/Scala • Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. • In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MySQL, NoSQL databases). • Experience and expertise in building complex end-to-end data pipelines. • Experience with orchestration and designing job schedules using the CICD tools like Jenkins and Airflow. • Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) • Ability to mentor junior team members. • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). • Strong leadership, problem-solving, and decision-making skills. • Excellent communication and collaboration abilities.
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