
Senior Data Engineer
4 days ago
We are seeking a highly skilled Data Architect with deep expertise in Big Data technologies and cloud services. The ideal candidate will bring strong hands-on experience in designing, architecting, and implementing scalable data solutions while driving innovation within the organization.
Key Responsibilities-
- Design, develop, and optimize Big Data architectures leveraging cloud services for large-scale, complex data processing.
- Build and maintain data pipelines using Spark (Scala) for both structured and unstructured datasets.
- Architect and operationalize data engineering and analytics platforms (cloud preferred; Hortonworks, Cloudera, or MapR experience a plus).
- Implement and manage cloud services including EMR, Glue, Kinesis, DynamoDB, Athena, CloudFormation, API Gateway, and S3.
- Work on real-time streaming solutions using Kafka and cloud Kinesis.
- Support ML model operationalization on cloud (deployment, scheduling, and monitoring).
- Analyze source system data and data flows to ensure high-quality, reliable data delivery for business needs.
- Write highly efficient SQL queries and support data warehouse initiatives using Apache NiFi, Airflow, and Kylo.
- Collaborate with cross-functional teams to provide technical leadership, mentor team members, and strengthen the data engineering capability.
- Troubleshoot and resolve complex technical issues, ensuring scalability, performance, and security of data solutions.
Mandatory Skills & Qualifications-
- Solid hands-on experience in Big Data Technologies (cloud, Scala, Hadoop and Spark Mandatory)
- Proven expertise in Spark with Scala
- Hands-on experience with: cloud services (EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation)
This is a great opportunity to join our organization as a key member of the data engineering team.
OthersPlease note that this job description may be subject to change based on business requirements.
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