Data Engineer

About the job

Job Description

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

Company: Natlov Technologies Pvt. Ltd

Experience: 1–2 years

CTC:3.6 LPA– 4.8 LPA

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.

Cloud Platforms: AWS, Azure

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)

• 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