
Data Engineering Manager
1 week ago
Job Overview:
">We are seeking a highly skilled Data Warehouse Architect to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining robust data infrastructure to ensure the availability, scalability, and reliability of our data systems.
">Key Responsibilities:
">- ">
- Design Data Pipelines: Design, develop, and manage robust, scalable, and high-performance data pipelines and ETL processes using tools like Spark, Kafka, or other cloud-native solutions.">
- Real-Time Data Processing: Design, implement, and optimize real-time data processing pipelines using tools such as Kafka, Spark Streaming, or Flink.">
- Big Data Solutions: Design and implement big data solutions to process large-scale event records, ensuring workflows are optimized for efficiency and scalability.">
- Data Modeling and Schema Design: Collaborate with stakeholders to understand data requirements and design appropriate data models and database schemas that meet business needs.">
Required Skills and Qualifications:
">- ">
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.">
- At least 5 years of proven experience in data warehouse and platform infrastructures, big data technologies, and large-scale data processing and ETL pipelines.">
- Hands-on experience with cloud computing platforms like AWS, Azure, or GCP.">
- Strong experience with SQL and database technologies, including relational databases, SQL queries, and data modeling.">
- Proven experience with big data solutions and technologies such as Hadoop, Hive, and distributed systems.">
- Experience with distributed and NoSQL database environments such as Cassandra, MongoDB, or HBase.">
- Proficiency in Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.">
- Familiarity with building scalable applications from the ground up, including server configuration and platform architecture.">
- Knowledge of data integration and workflow management tools such as Apache Airflow, Glue, Dagster, or ADF.">
- Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.">
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.">
- Attention to detail and a strong commitment to delivering high-quality work within established timelines.">
- Proven experience in the fintech domain is a plus.">
Benefits:
">We offer a dynamic and collaborative work environment, opportunities for professional growth and development, and a competitive compensation package.
">How to Apply:
">Please submit your resume and a cover letter detailing your relevant experience and qualifications.
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