Data Engineer (AWS, Snowflake, Batch ETL tool) (1061 views)

**** Direct Client Requirement****

Title: Data Engineer (AWS, Snowflake, Batch ETL tool)

Location: 100% Remote – Phoenix / San Antonio

Rate: DOE

Duration: Long Term Renewable Contract

Interview Type: Web Cam Interview

Work Status: Successful applicants must be legally authorized to work in the U.S.

Job Type: W2

Experience: 4+ YEARS

 
Skills and Qualifications:

• Data Engineer with Bachelor’s Degree or foreign equivalent in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering is required
• 1+ year experience with Snowflake database – MUST HAVE
• AWS cloud experience (EC2, S3, Lambda, EMR, RDS, Redshift)
• Experience in ETL and ELT workflow management- MUST HAVE
• Familiarity with AWS Data and Analytics technologies such as Glue, Athena, Spectrum, Data Pipeline
• Experience building internal cloud to cloud integrations is ideal
• Experience with streaming related technologies ex Spark streaming or other message brokers like Kafka is a plus
• 3+ years of Data Management Experience
• 3+ years of batch ETL tool experience (DataStage / Informatica / Talend)
• 3+ years’ experience developing, deploying and supporting scalable and high-performance data pipelines (leveraging distributed, data movement technologies and approaches, including but not limited to ETL and streaming ingestion and processing)
• 2+ years’ experience with Hadoop Ecosystem (HDFS/S3, Hive, Spark)
• 2+ years’ experience in a software engineering, leveraging Java, Python, Scala, etc.
• 2+ years’ advanced distributed schema and SQL development skills including partitioning for performance of ingestion and consumption patterns
• 2+ years’ experience with distributed NoSQL databases (Apache Cassandra, Graph databases, Document Store databases)
• Experience in the financial services, banking and/ or Insurance industries is a nice to have