REMOTEFULLTIME
Data Engineer (ADF, Snowflake)
Tech Next Software
Remote · remote · Posted 48d ago
Sourced from
Undisclosed5–10 yrsfulltimeRemote
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.3s
- Found the form on Naukri · 8 questions to answer1.2s
- Decided the answers for all of them2.6s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Job Summary
Responsibilities
Job Type
Required Skills
Preferred Skills
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
This is a remote position.
We are looking for an experienced Data Engineer with strong hands-on experience in Azure Data Factory (ADF), Snowflake, dbt, and SQL. The ideal candidate will be responsible for building and maintaining scalable data pipelines, transforming data, and developing reliable data solutions for analytics and reporting.
Responsibilities
- Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF).
- Build and optimize data solutions using Snowflake as the cloud data warehouse.
- Develop data transformation models using dbt (Data Build Tool).
- Write complex and optimized SQL queries, stored procedures, views, and transformations.
- Develop data pipelines to ingest data from various sources including APIs, databases, files, and enterprise applications.
- Perform data cleansing, transformation, validation, and reconciliation to ensure data quality and accuracy.
- Implement incremental data loads, scheduling, dependency management, and error handling in ADF.
- Develop scalable and optimized Snowflake data models, tables, views, and SQL transformations.
- Build and maintain dbt models, tests, macros, and documentation.
- Troubleshoot pipeline failures, data issues, and performance problems across ADF, Snowflake, and dbt.
- Work with business analysts, data architects, and other engineering teams to understand data requirements and deliver solutions.
- Support production deployments, monitoring, and ongoing enhancement of data pipelines.
Job Type
Full time
Required Skills
- 4+ years of experience in Data Engineering.
- Strong hands-on experience with:
- Azure Data Factory (ADF)
- Snowflake
- dbt
- Advanced SQL
- ETL/ELT concepts and data warehousing
- Experience developing complex data pipelines and data transformations.
- Good understanding of dimensional data modeling, including fact and dimension tables.
- Experience with Snowflake performance optimization and query tuning.
- Hands-on experience with dbt models, tests, incremental models, macros, and Jinja.
- Strong troubleshooting and production support skills.
Preferred Skills
- Experience with Azure cloud services, particularly Azure Storage, Azure Functions, Databricks, or Key Vault.
- Experience integrating data through REST APIs, JSON, CSV, and relational databases.
- Experience with Python or PySpark is a plus.
- Experience with Git and CI/CD using Azure DevOps or similar tools.
- Understanding of data governance, data quality, and security best practices.
- Experience working with large-scale enterprise data platforms.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Data CleansingAzure DevopsData Engineerapisadvanced sqlAzure StorageCSVAnalyticsCloud DataData Build ToolData EngineeringcloudAzure Data FactoryData GovernanceMicrosoft AzureData ModelingAzure Functions
Section · Company
About Tech Next Software
Tech Next Software
Software Product
₹8L PA avg
Avg at Tech Next Software
About
Tech Next Software specializes in innovative IT solutions, addressing industry needs with a focus on effective communication and leadership within its workforce.
Industries
Software Product
Employee ratings
10 reviews
3.1/ 5
Culture
1.7
Career growth
1.6
Work-life
2.2
Employees rate it well for
Compensation & Benefits34Work-Life Balance32
Find them on