"§ Required Skills & Technologies: 
 

Data Engineering & Integration: 
• ETL/ELT Tools: Informatica, Talend, Apache Nifi, DBT 
• Big Data Ecosystem: Cloudera, HBase, Apache Hadoop, Spark 
• Data Streaming: Apache Kafka, AWS Kinesis, Apache Flink 
• Data Warehouses: Snowflake, AWS Redshift, Google Big Query, Azure Synapse 
• Databases: PostgreSQL, MySQL, MongoDB, Cassandra 
 

Programming & Scripting: 
- Languages: Python, Java, Scala 
- Scripting: Shell, PowerShell, Bash 
- Frameworks: PySpark, SparkSQL 
 

Cloud & DevOps: 
• Cloud Platforms: AWS, Azure, GCP 
• Containerization & Orchestration: Kubernetes, Docker 
• CI/CD Pipelines: Jenkins, GitHub Actions, Terraform, CloudFormation 
 

Security & Governance: 
• Compliance Standards: GDPR, HIPAA, SOC 2 
• Data Cataloging: Collibra, Alation 
• Access Controls: IAM, RBAC, ABAC 
 Preferred Certifications: 
- AWS Certified Data Analytics – Specialty 
- Microsoft Certified: Azure Data Engineer Associate 
- Google Professional Data Engineer 
- Databricks Certified Data Engineer Associate/Professional 
- Cloudera Certified Data Engineer 
- Informatica Certified Professional 
 

Education & Experience: 
- Bachelor's/Master’s degree in Computer Science/ MCA, Data Engineering, or a related field. 
- 8+ years of experience in data architecture, integration, and engineering. 
- Proven expertise in designing and implementing enterprise-scale data solutions"