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Python Pyspark Aws Dbt Professional

Python Pyspark Aws Dbt Professional

Virtusa

8 - 10 years

2 - 6 Lacs

hyderabad

Posted:4 days ago| Platform:

Apply

Skills Required

python s3 data pipelines data engineer version control pyspark data warehousing agile development data quality lambda etl pipelines git query optimization redshift dbt cloud infrastructure agile aws etl programming aws services

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary:

We are looking for a skilled AWS Data Engineer with strong experience in building and managing cloud-based ETL pipelines using AWS Glue, Python/PySpark, and Athena, along with data warehousing expertise in Amazon Redshift. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions in a cloud-native environment.

Design and implement ETL workflows using AWS Glue, Python, and PySpark.

Develop and optimize queries using Amazon Athena and Redshift.

Build scalable data pipelines to ingest, transform, and load data from various sources.

Ensure data quality, integrity, and security across AWS services.

Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.

Monitor and troubleshoot ETL jobs and cloud infrastructure performance.

Automate data workflows and integrate with CI/CD pipelines.

Required Skills & Qualifications:

Hands-on experience with AWS Glue, Athena, and Redshift.

Strong programming skills in Python and PySpark.

Experience with ETL design, implementation, and optimization.

Familiarity with S3, Lambda, CloudWatch, and other AWS services.

Understanding of data warehousing concepts and performance tuning in Redshift.

Experience with schema design, partitioning, and query optimization in Athena.

Proficiency in version control (Git) and agile development practices.

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Python Pyspark Aws Dbt Professional