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For Employers

Data Engineer

Natlov Technologies Pvt Ltd

2 years

0 Lacs

delhi india

Posted:2 days ago| Platform:

Apply

Skills Required

data aws azure design airflow databricks programming python pyspark spark sql excel etl pipeline apache automate storage reliability security analytics support

Work Mode

Remote

Job Type

Full Time

Job Description

About the job

Hiring: Data Engineer | Remote | Full-Time | Immediate Joiner

Company:

Experience:

CTC:

Natlov Technologies Pvt. Ltd is looking for a Data Engineer with strong AWS expertise and working experience in Azure. In this role, you will design, build, and optimize scalable data pipelines across multi-cloud environments using tools like Airflow, AWS Glue, Azure Data Factory, Databricks, BigQuery, and Redshift.

If you enjoy architecting reliable data systems and solving complex cloud data challenges, this opportunity is for you.

Key Skills

Cloud Platforms:

Programming & Data Processing:

Python (Strong)
PySpark (Spark on Databricks)
SQL (Advanced / Strong)

Data Warehousing & Analytics:

Snowflake (Strong)
Amazon Redshift
Azure Synapse Analytics
Stored Procedures (Strong)
Excel Data Analysis

ETL / ELT & Pipelines:

ETL / ELT Pipelines (Design & Automation)
Pipeline Orchestration:
Apache Airflow, AWS Glue, Azure Data Factory

Data Modeling:

Deep knowledge of Data Modeling (Star, Snowflake schemas)

Databases & Storage:

MySQL
BigQuery
ADLS Gen2
Amazon S3
Azure SQL Database

Big Data Technologies:

Databricks (Apache Spark, PySpark, Delta Lake)

What You’ll Do

Build, automate, and maintain
scalable ETL / ELT data pipelines
using
Python, PySpark, and SQL
Orchestrate data workflows using Apache Airflow, AWS Glue, and Azure Data Factory
Develop and optimize data models
in
Amazon Redshift
and
Azure Synapse
Integrate data from multiple cloud platforms, databases, and storage systems
Perform Spark-based big data processing
on
Databricks
Ensure data reliability, performance, security, and scalability
across pipelines
Collaborate with analytics and business teams to support
data-driven decision making

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Data Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Hiring: Data Engineer | Remote | Full-Time | Immediate Joiner

Company:

Experience:

CTC:

Cloud Platforms:

Programming & Data Processing:

Python (Strong)

PySpark (Spark on Databricks)

SQL (Advanced / Strong)

Data Warehousing & Analytics:

Snowflake (Strong)

Amazon Redshift

Azure Synapse Analytics

Stored Procedures (Strong)

Excel Data Analysis

ETL / ELT & Pipelines:

ETL / ELT Pipelines (Design & Automation)

Pipeline Orchestration:

Data Modeling:

Deep knowledge of Data Modeling (Star, Snowflake schemas)

Databases & Storage:

Big Data Technologies:

Databricks (Apache Spark, PySpark, Delta Lake)

What You’ll Do

scalable ETL / ELT data pipelines

Python, PySpark, and SQL

Orchestrate data workflows using Apache Airflow, AWS Glue, and Azure Data Factory

Develop and optimize data models

Amazon Redshift

Azure Synapse

Integrate data from multiple cloud platforms, databases, and storage systems

Perform Spark-based big data processing

Databricks

Ensure data reliability, performance, security, and scalability

data-driven decision making

More Jobs at Natlov Technologies Pvt Ltd

Data Engineer

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