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AWS DE - Consultant

Talent WorxPune, MH, IN

12 days ago

Job type

Quick Apply

Job description

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, SQL, and PySpark.

Experience - 4 to 6 years

Requirements

Key Responsibilities :

Creation and support of data pipelines built on AWS technologies including Glue, Redshift, EMR, Kinesis and Athena

Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the AWS platform.

Optimize data integration platform to provide optimal performance under increasing data volumes

Support the data architecture and data governance function to continually expand their capabilities

Experience in development of Solution Architecture for Enterprise Data Lakes (applicable for AM / Manager level candidates)

Should have exposure to client facing roles

Strong communication, inter-personal and team management skills

THE INDIVIDUAL

Proficient in any object-oriented / functional scripting languages : Pyspark, Python etc.

Experience in using AWS SDKs for creating data pipelines – ingestion, processing and orchestration.

Hands on experience in working with big data on AWS environment including cleaning / transforming / cataloguing / mapping etc.

Good understanding of AWS components, storage (S3) & compute services (EC2)

Hands on experience in AWS managed services (Redshift, Lambda, Athena) and ETL (Glue).

Experience in migrating data from on-premise sources (e.g. Oracle, API-based, data extracts) into AWS storage (S3)

Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries

Experience in ETL and data modelling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB

Experience in setting up AWS Glue to prepare data for analysis through automated ETL processes.

Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline

Hands on experience with AWS CLI, Linux tools and shell scripts

Certifications on AWS will be an added plus.

QUALIFICATION

BE / BTech / MCA

4 to 6 years of strong experience in 3-4 of the above-mentioned skills.

Benefits

Work with one of the Big 4's in India

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Consultant Aws • Pune, MH, IN

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