AWS Data Engineer | 6 to + years | | | |amp

Job Description

Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability.

Able to create Collaborative, intellectually curious environment in team.

Identify process improvement opportunities to drive innovation.

Ability to uncover and develop data-oriented stories that resonate with business partners/executive audiences.

Should have 6+ years of experience in maintaining data warehouse systems and working on large scale data transformation using EMR, Hadoop, Hive or other Big Data Technologies.

Primary Skills

3+ experience with Cloud technologies, especially AWS services (S3, Athena, Glue, DynamoDB, Step Functions, etc).

Strong understanding of Redshift, EMR, Athena, Aurora, Kinesis, Lambda, EC2 etc.

Must have Technical strength in SQL, Cloud Technologies, ETL development and data warehousing.

Able to mentor and manage other data engineers.

Ensure best data engineering practices followed.

Ability to communicate with business team as well as Technical team.

Experience in building Data Quality framework.

Excellent analytical ability to understand business issues associated with data management and governance, business processes in terms of data, and related standards, data security and privacy

Experience in building data pipelines using SQL, Python & Pyspark in AWS.

Secondary Skills

Strong understanding of emerging technologies ,methodologies and products that may be of interest to our clients