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AWS Data Engineer
1 month ago
We are seeking a highly skilled AWS Data Engineer to join our team at CAI Info India Pvt Ltd.
Key Responsibilities:
- Design and develop data lakes on AWS using ETL tools and technologies like Databricks or Apache Hoodie.
- Manage data flows that integrate information from various sources into a common data lake platform.
- Triage, debug, and fix technical issues related to Data Lakes.
- Design and develop data warehouses for scale on Snowflake, Redshift, HANA, Teradata, Exasol, etc.
- Design and evaluate data models (Star, Snowflake, and Flattened).
- Design data access patterns for OLTP and OLAP-based transactions.
- Coordinate with business and technical teams through all phases of the software development life cycle.
- Participate in making major technical and architectural decisions.
- Maintain and manage code repositories like Git.
Requirements:
- Bachelor's degree in computer science, information technology, data science, data analytics, or a related field.
- 5+ years of experience operating on AWS Cloud with building Data Lake architectures.
- 3+ years of experience with AWS Data services like S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS, and Redshift.
- 3+ years of experience building Data Warehouses on Snowflake, Redshift, HANA, Teradata, Exasol, etc.
- 3+ years of working knowledge in Spark.
- 3+ years of experience building Delta Lakes using technologies like Apache Hoodie or Data bricks.
- 3+ years of experience working on any ETL tools and technologies.
- 3+ years of experience in any programming language (Python, R, Scala, Java).
- Experience working on Agile projects and Agile methodology in general.
- AWS Certification is preferred.
- Strong RDBMS and data modeling skills.
Physical Demands:
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor.