drjobs AWS Data Engineer

AWS Data Engineer

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1 Vacancy
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Job Location drjobs

India

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

AWS Data Engineer
YOE :: 5 Years overall exp
Contract :: 6 months
Notice period :: immediate 10 days serving
Job Type : Remote
  1. AWS Data Engineer 1 year of exp in Tableau
  2. AWD Data Engineer Rest API exp
  3. AWS Data Engineer
  4. AWS Data Engineer Talend

Primary Responsibilities
Design and develop data lakes manage data flows that integrate information from various
sources into a common data lake platform through an ETL Tool
Code and manage delta lake implementations on S3 using technologies like Databricks or
Apache Hoodie
Triage debug and fix technical issues related to Data Lakes
Design and Develop Data warehouses for Scale
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 the phases in the software
development life cycle
Participate in making major technical and architectural decisions
Maintain and Manage Code repositories like Git
You Must Have:
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 in 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)


s3,apache hoodie,rest api,teradata,scala,snowflake,glue,data,java,r,data lake,databricks,lake formation,tableau,exasol,aws,emr,kinesis,apache,hana,etl,git,rds,data warehousing,redshift,data modeling,spark,talend,python,dms

Employment Type

Full Time

Company Industry

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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