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Iris Software
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AWS Data - Senior Engineer

AWS Data - Senior Engineer

Iris Software

6 - 7 years

6 - 11 Lacs

Noida

Posted:1 day ago| Platform:

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Skills Required

data warehousing pyspark sql big data data lake glue amazon redshift azure data factory spark aws cloud hadoop ses azure databricks data services python azure data lake dynamo db adl microsoft azure aws lambda aws glue kafka eventbridge sns aws

Work Mode

Work from Office

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.
Team Leadership: Mentor and guide data engineers, ensuring they adhere to best practices and meet project deadlines.

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

Certifications in AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Data.

Mandatory Competencies

Big Data - Big Data - Pyspark

Data on Cloud - Azure Data Lake (ADL)

Beh - Communication and collaboration

Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate

Cloud - AWS - AWS S3, S3 glacier, AWS EBS

Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight

Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift

Database - Sql Server - SQL Packages

Data Science and Machine Learning - Data Science and Machine Learning - Python

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