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Consultant

Consultant

Deloitte Consulting

2 - 4 years

14 - 15 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

aws iam glue amazon redshift big data technologies pyspark data warehousing emr sql git postgresql spark hadoop programming agile methodology python data services dynamo db amazon rds elt nosql aws glue system lambda expressions athena aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Consultant & Senior Consultant in our Consulting team, you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You ll:

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:

1. Design and implement scalable, high-performance data pipelines using AWS services

2. Develop and optimize ETL processes using

AWS Glue, EMR, and Lambda

3. Build and maintain data lakes using S3 and Delta Lake

4. Create and manage analytics solutions using Amazon Athena and Redshift

5. Design and implement database solutions using Aurora, RDS, and DynamoDB

6. Develop serverless workflows using AWS Step Functions

7. Write efficient and maintainable code

using Python/PySpark, and SQL/PostgrSQL

8. Ensure data quality, security, and compliance with industry standards

9. Collaborate with data scientists and analysts to support their data needs

10. Optimize data architecture for performance and cost-efficiency

11. Troubleshoot and resolve data pipeline and infrastructure issues

Required Qualifications:

1. bachelor s degree in computer science, Information Technology, or related field

2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS

3. Strong proficiency in

AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3

4. Experience with data lake technologies, particularly Delta Lake

5. Expertise in database systems:

Aurora, RDS, DynamoDB, PostgreSQL

6. Proficiency in

Python and PySpark

programming

7. Strong SQL skills and experience with

PostgreSQL

8. Experience with AWS Step Functions for workflow orchestration

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

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