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AWS Pyspark- Lead

AWS Pyspark- Lead

UST

8 years

0 Lacs

kochi kerala india

Posted:6 days ago| Platform:

Apply

Skills Required

aws data pyspark engineering technology design etl redshift storage processing analytics extract flow code deployment sql database airflow terraform orchestration devops kafka governance security compliance

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Job Title:

Data Engineer – AWS & PySpark

Location:

Trivandrum/Kochi/Chennai/Hyderabad/Bangalore/Pune/Noida

Experience Required:

5–8 years

Employment Type:

Full-Time

Department:

Data Engineering / Technology

Job Summary:

We are seeking a skilled

Data Engineer

with 5–8 years of experience to design, implement, and maintain robust, scalable data architectures on

AWS

. The ideal candidate will be highly proficient in

PySpark

and experienced with

AWS cloud data services

including

S3, Glue, and Redshift

. You will work closely with cross-functional teams to enable seamless data flows and ensure efficient ETL pipelines across our cloud infrastructure.

Key Responsibilities:

Design, implement, and maintain scalable and robust data architectures on AWS.
Utilize AWS services such as S3, Glue, and Redshift for data storage, processing, and analytics.
Develop and implement ETL processes using PySpark to extract, transform, and load data into AWS storage solutions.
Collaborate with cross-functional teams to ensure seamless data flow across different AWS services.
Ensure high-quality code and adherence to best practices in data engineering and cloud deployment.

Must-Have Skills:

5–8 years of experience in Data Engineering.
Strong hands-on experience with PySpark for ETL and data processing tasks.
Proven experience working with AWS data services: S3, Glue, and Redshift.
Solid understanding of data modeling, SQL, and database design.
Experience with designing and building data pipelines on AWS.

Good-to-Have Skills:

Knowledge of Airflow, Terraform, or other orchestration/IaC tools.
Familiarity with DevOps practices in cloud-based data environments.
Experience with real-time data processing (e.g., Kinesis, Kafka).
Exposure to data governance, security, and compliance frameworks.
Working knowledge of other AWS services like Lambda, Athena, or EMR.

Educational Qualifications:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Skills

Aws,Pyspark,Aws Cloud

Skills

Aws,Pyspark,Data Engineer

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