DeepSource Technologies
L1 Data Engineer - Remote
Remote role where the employee must remain based in a particular country.
India only
Employer listed it 3 weeks ago · Found 8h ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
India only
Timezone
APAC
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $105k–$200k a year, a typical range taken from 250 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in India. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "India, Remote"
What Nomaders makes of it
- Residency required in India
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
We are looking for a motivated and technically solid L1 Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining the data architecture and infrastructure that supports our organization's data strategy. You will work hands-on to develop, test, and deploy reliable data solutions — ensuring pipelines are scalable, efficient, and aligned with business requirements.
This is an ideal opportunity for a data professional who is eager to deepen their expertise in cloud-native data platforms, particularly within the Microsoft Azure and Databricks ecosystem, and who thrives in a collaborative, fast-paced environment.
KEY RESPONSIBILITIES
• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics use cases.
• Build and optimize data ingestion processes using Azure Data Factory and Databricks, ensuring data quality and consistency across all layers of the data platform.
• Transform and process large datasets using PySpark and Python, applying best practices for performance and maintainability.
• Write and optimize complex SQL queries to support analytical reporting and data validation requirements.
• Collaborate with data architects and senior engineers to implement and maintain data models aligned with organizational standards.
• Monitor, troubleshoot, and resolve pipeline failures and data quality issues, applying root-cause analysis to prevent recurrence.
• Contribute to documentation of data pipelines, data dictionaries, and engineering standards.
• Support the team in exploring and evaluating new tools and approaches to continuously improve the data infrastructure.
Requirements
3+ years of professional experience in a Data Engineering or closely related role.
Strong proficiency in Python for data processing, transformation, and automation tasks.
Hands-on experience with Pandas for data manipulation and PySpark for distributed data processing.
Practical experience with Databricks, including notebook development, clusters, and job orchestration.
Experience building and managing data pipelines with Azure Data Factory.
Working knowledge of Azure Synapse Analytics, particularly Spark pool integration.
Solid SQL skills, including query writing, optimization, and performance tuning.
Familiarity with data engineering principles including incremental loading, data lake architecture, and Delta Lake.
Understanding of data governance and security concepts within a cloud data platform.
NICE TO HAVE
Experience with SQL Server migration projects, including schema conversion and data movement.
Exposure to Terraform for Azure infrastructure provisioning and management.
Requirements
- ·3+ years of professional experience in a Data Engineering or closely related role.
- ·Strong proficiency in Python for data processing, transformation, and automation tasks.
- ·Hands-on experience with Pandas for data manipulation and PySpark for distributed data processing.
- ·Practical experience with Databricks, including notebook development, clusters, and job orchestration.
- ·Experience building and managing data pipelines with Azure Data Factory.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at DeepSource Technologies, mentioning your remote working experience and working hours (APAC).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 8h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $105k to $200k per year · You'll be taken to the employer's careers page.