Cloud Architect

3 weeks ago


Bengaluru, India Techneplus Full time

Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS)
- Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Minimum of 5 years of professional experience in 2 of the following areas:

- Solution/technical architecture in the cloud.
- Big Data/analytics/information analysis/database management in the cloud.
- IoT/event-driven/microservices in the cloud
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Auto Scaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloud trail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/ML, API GW, etc.
- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, Stream Sets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
- Bachelor’s Degree or equivalent amount of work experience (12 years), or associate degree with six years of work experience.

**Job Specification**:

- Proven ability to build, manage and foster a team-oriented environment
- Proven ability to work creatively and analytically in a problem-solving environment
- Desire to work in an information systems environment
- Excellent communication (written and oral) and interpersonal skills
- Excellent leadership and management skills

**Primary Skills**:

- Certified AWS Solutions Architect - Professional (Nice to have)
- Certified AWS Big Data Specialty (Nice to have)
- Certified AWS AI/ML Specialty (Nice to have) - DevOps on an AWS platform. Multi-cloud experience a plus.
- Experience developing and deploying ETL solutions on AWS.
- Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting.
- Multi-cloud experience a plus - Azure, AWS, Google
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.

**Secondary Skills**:
- Certifications -Certified AWS Solutions Architect - Associate


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