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Data Engineer (AWS)

Data Engineer (AWS)

Weekday (YC W21)

5 years

3 - 10 Lacs

delhi delhi india

Posted:1 day ago| Platform:

Apply

Skills Required

data aws technology design etl analyze orchestration workflow integrity monitoring software support storage retrieval processing scalability redshift pipeline communication collaboration sql databricks development airflow management

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of our clientsCompany Name: Muoro.ioIndustry: Technology, Information and MediaSeniority level: Mid-Senior levelMin Experience: 5 yearsLocation: NCRJobType: full-timeWe are seeking an experienced

Data Engineer

with deep expertise in the

AWS data ecosystem

to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong analytical skills, hands-on experience in modern data architectures, and a passion for delivering high-quality, reliable data solutions.

Key Responsibilities

Design, develop, and maintain robust

data pipelines

and

ETL workflows

using AWS tools such as

Glue

Kinesis

Redshift

S3

, and

Data Lake

architectures.Work extensively with

SQL

and

Databricks

to process, transform, and analyze large datasets.Implement

data orchestration and workflow automation

using tools like

Airflow

Step Functions

.Ensure

data quality, integrity, and consistency

across systems through rigorous validation and monitoring practices.Collaborate with cross-functional teams, including data analysts and software engineers, to support data-driven decision-making.Optimize data storage, retrieval, and processing for scalability and performance in a cloud-native environment.

Requirements

5+ years of hands-on experience in

data engineering

.Proven expertise in the

AWS ecosystem

(Glue, Kinesis, Redshift, S3).Proficiency in

SQL

Databricks

, and

data pipeline orchestration

tools.Strong understanding of

data analysis

data quality management

, and

data modeling

principles.Experience working with

data lakes

and

modern data architectures

.Excellent problem-solving, communication, and collaboration skills.

Core Skills

SQL

AWS (Glue, Kinesis, Redshift, S3)

Databricks

Data Pipeline Development

Airflow / Step Functions

Data Quality Management

Data Lake Architecture

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Data Engineer (AWS)

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Data Engineer

AWS data ecosystem

Key Responsibilities

data pipelines

ETL workflows

Glue

Kinesis

Redshift

S3

Data Lake

SQL

Databricks

data orchestration and workflow automation

Airflow

Step Functions

data quality, integrity, and consistency

Requirements

data engineering

AWS ecosystem

SQL

Databricks

data pipeline orchestration

data analysis

data quality management

data modeling

data lakes

modern data architectures

Core Skills

SQL

AWS (Glue, Kinesis, Redshift, S3)

Databricks

Data Pipeline Development

Airflow / Step Functions

Data Quality Management

Data Lake Architecture

More Jobs at Weekday (YC W21)