Aws Data Engineer

Iris Software

6 - 10 years

20 - 35 Lacs

Pune Delhi / NCR

Posted:1 day ago| Platform:

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Skills Required

Airflow Amazon Redshift cdk Aws Glue AWS Pyspark Athena

Work Mode

Hybrid

Job Type

Full Time

Job Description

Responsibilities

Data Architecture:
Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality.
AWS Data Services:
Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc.
Data Warehousing:
Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options.
Data Lakes:
Build and manage data lakes on AWS using AWS S3 and other relevant services.
Data Pipelines:
Design and develop efficient data pipelines to extract, transform, and load data from various sources.
Data Quality:
Implement data quality frameworks and best practices to ensure data accuracy, completeness, and consistency.
Cloud Optimization:
Optimize data engineering solutions for performance, cost-efficiency, and scalability on the AWS cloud.

Qualifications

Bachelors degree in computer science, Engineering, or a related field.
6-7 years of experience in data engineering roles, with a focus on AWS cloud platforms.
Strong understanding of data warehousing and data lake concepts.
Proficiency
in SQL and at least one programming language (
Python/Pyspark
).
Good to have - Experience with any big data technologies like Hadoop, Spark, and Kafka.
Knowledge of data modeling and data quality best practices.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a team.

Preferred Qualifications

AWS data developers with 6-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred
Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift
Good communication skills and can deliver independently

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