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AWS Data Engineer - Analyst

Min Experience

1 years

Location

Bengaluru / Bangalore

JobType

Permanent Job

About the job

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About the role

We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages. Key Responsibilities: Design and implement scalable, high-performance data pipelines using AWS services Develop and optimize ETL processes using AWS Glue, EMR, and Lambda Build and maintain data lakes using S3 and Delta Lake Create and manage analytics solutions using Amazon Athena and Redshift Design and implement database solutions using Aurora, RDS, and DynamoDB Develop serverless workflows using AWS Step Functions Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL Ensure data quality, security, and compliance with industry standards Collaborate with data scientists and analysts to support their data needs Optimize data architecture for performance and cost-efficiency Troubleshoot and resolve data pipeline and infrastructure issues Technical Skills: AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB, Step Functions Big Data: Hadoop, Spark, Delta Lake Programming: Python, PySpark Databases: SQL, PostgreSQL, NoSQL Data Warehousing and Analytics ETL/ELT processes Data Lake architectures Version control: Git Agile methodologies Required Qualifications: bachelor's degree in computer science, Information Technology, or related field Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3 Experience with data lake technologies, particularly Delta Lake Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL Proficiency in Python and PySpark programming Strong SQL skills and experience with PostgreSQL

Skills

S3
PostgreSQL
Pyspark
Nosql
Lambda
Python
Aws Services
RDS
Hadoop
Agile Methodologies
Dynamodb
Big Data
Emr
Redshift
Sql
Git
Spark
Etl
ELT processes
Aurora
Data Lake architectures
Step Functions
Data Warehousing and Analytics
Glue
Delta Lake
Athena