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Senior Data Engineer (8-13 yrs)
ConsultBae
posted 3 weeks ago
Flexible timing
Key skills for the job
We are looking for an experienced Sr. Data Engineer focused on SSIS, Snowflake, SQL, and ETL development.
Responsibilities :
- Provide Expertise and Guidance as a Senior Experienced Engineer in solution design and strategy for Data Lake and analytics-oriented Data Operations.
- Design, develop, and implement end-to-end data solutions (storage, integration, processing, access) in hyper vendor platforms like AWS and Azure.
- Architect and implement Integration, ETL, and data movement solutions using AWS Glue, MSK, and/or Confluent, and other COTS technologies.
- Prepare documentation and designs for data solutions and applications.
- Design and implement distributed analytics platforms for analyst teams.
- Design and implement streaming solutions using Amazon Kinesis, Kafka, Talend, and Confluent.
- Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, Redshift, DynamoDB, Cloudera, Snowflake, Databricks, etc.
- Implement ad-hoc analysis solutions using Athena, and other SQL and No-SQL Tools like Alteryx.
- Propose architectures that consider cost/spend in AWS and develop recommendations or plans to right-size AWS data infrastructure.
Requirements :
- Bachelor's degree in Computer Science, Software Engineering.
- 8+ Years of experience in the Data domain as an Engineer and Architect.
- A solid understanding of AWS and Azure storage solutions, such as S3 EFS, EBS.
- A solid understanding of AWS and Azure compute solutions, such as EC2
- Experience implementing solutions on AWS and Azure relational databases such as MSSQL, SSIS, Amazon Redshift, RDS, and Aurora.
- Experience implementing solutions leveraging ElastiCache and DynamoDB.
- Experience designing and implementing Enterprise Data Warehouse, Data Marts/Lakes.
- Experience with Star or Snowflake Schema.
- Experience with R and Python, and other emerging technologies in DA.
- Understanding of Slowly Changing Dimensions and Data Vault Model.
- AWS and Azure Certifications are preferred.
Functional Areas: Software/Testing/Networking
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