with minimum 7 years of experience, atleast 3+ years of recent exp in AWS Data Engineering
Technology Skills:
Big Data Technology (
Sqoop
,
Spark
,
HIVE
, basic Big Data Architecture, different data formats like parquet,csv,ect)
Proficient SQL knowledge; Stored Procedures; SSIS packages
Proficient knowledge of
PySpark
- should have a good knowledge of python as well
AWS tech stack like :
AWS Glue
,
EMR
,
Athena
, S3, Aurora, Step Functions, Lambda, SNS,SQS, Event Bridge, etc (good at Data Analytics using AWS)
Confluent Kafka for streaming data, basic knowledge of scala.
Basic knowledge of terraform scripting and UNIX scripting.
Good data analysis skills - very important for finding and resolving data issues and bugs
ETL validation knowledge using
AWS Glue
Interpersonal skills:
Good communication skills
Come up with ideas and present them well to client - take initiative in project progress
Active listening
Need to be very interactive with various teams mainly onsite clients (US - CDT time zone)
Must be proactive and self-driven and dedicated.
Should have a learn on the go mentality (technical skills as well widen business knowledge)
Job Type: Full-time
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