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DATAECONOMY
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Pyspark Data Engineer

Pyspark Data Engineer

DATAECONOMY

8 years

0 Lacs

Hyderabad Telangana India

Posted:1 day ago| Platform:

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Skills Required

pyspark data analytics technology engineering aws apache processing design etl schedule code pipeline resolve architecture airflow workflow sql extraction git

Work Mode

On-site

Job Type

Full Time

Job Description

About Us

About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.

Job Title:

PySpark Data Engineer

Experience:

5 – 8 Years

Location:

Hyderabad

Employment Type:

Full-Time

Job Summary

We are looking for a skilled and experienced

PySpark Data Engineer

to join our growing data engineering team. The ideal candidate will have 5–8 years of experience in designing and implementing data pipelines using

PySpark

AWS Glue

, and

Apache Airflow

, with strong proficiency in

SQL

. You will be responsible for building scalable data processing solutions, optimizing data workflows, and collaborating with cross-functional teams to deliver high-quality data assets.

Key Responsibilities

Design, develop, and maintain large-scale ETL pipelines using PySpark and AWS Glue.
Orchestrate and schedule data workflows using Apache Airflow.
Optimize data processing jobs for performance and cost-efficiency.
Work with large datasets from various sources, ensuring data quality and consistency.
Collaborate with Data Scientists, Analysts, and other Engineers to understand data requirements and deliver solutions.
Write efficient, reusable, and well-documented code following best practices.
Monitor data pipeline health and performance; resolve data-related issues proactively.
Participate in code reviews, architecture discussions, and performance tuning.

Requirements

5–8 years of experience in data engineering roles.
Strong expertise in PySpark for distributed data processing.
Hands-on experience with AWS Glue and other AWS data services (S3, Athena, Lambda, etc.).
Experience with Apache Airflow for workflow orchestration.
Strong proficiency in SQL for data extraction, transformation, and analysis.
Familiarity with data modeling concepts and data lake/data warehouse architectures.
Experience with version control systems (e.g., Git) and CI/CD processes.
Ability to write clean, scalable, and production-grade code.

Benefits

Company standard benefits.

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Pyspark Data Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

About Us

Job Title:

Experience:

Location:

Employment Type:

Job Summary

PySpark Data Engineer

PySpark

AWS Glue

Apache Airflow

SQL

Key Responsibilities

Requirements

Benefits

More Jobs at DATAECONOMY