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Data Engineer

PanApps
Remote

Apply Now

Job details

Full-time

Benefits

Work from home

Qualifications

Power BI
Data modelling
Azure
DevOps
Microsoft SQL Server
Git
.NET
Information security
SQL
Analysis skills
REST
APIs
ETL
ISO 27001
Python
T-SQL

Full job description

Job Title

Data Engineer

Job Location

Remote/Work From Anywhere

Job Type

Full Time

No. of Positions

Date Posted

May 3, 2026

Preferred Experience

Job Description

We are looking for skilled Data Engineers at Associate and Senior Associate levels to build and manage scalable data pipelines in a modern Azure-based data platform. This role involves working on data integration, transformation, and ensuring high data quality in regulated environments.

Job Requirements

Key Responsibilities: Design, develop, maintain, and optimize ETL/data pipelines using Python and SQL Server for data ingestion, transformation, and integration from diverse sources such as databases, structured files, and REST APIs. Write clean, efficient, and scalable Python code for data processing, automation, and integrations, following best practices and coding standards. Develop, manage, and optimize SQL queries, views, and stored procedures to support business logic, reporting, and high-performance data processing. Build and manage data workflows using Azure Data Factory, Azure SQL, Blob Storage, and related Azure services, ensuring reliability and scalability. Monitor and troubleshoot data pipelines, performance issues, and data quality problems, ensuring minimal downtime and high system efficiency. Ensure data quality, integrity, lineage, and compliance with organizational and regulatory standards (e.g., HIPAA, SOC2). Collaborate with cross-functional teams including data analysts, software engineers, and DevOps to understand requirements and align data solutions with business needs. Work on API integrations and upstream/downstream system connectivity, including exposure to application ecosystems (e.g., .NET-based services). Participate in and contribute to code reviews, design discussions, and best practice implementation to improve overall engineering quality. Drive continuous improvement, automation, and performance optimization across data pipelines and workflows. Support and contribute to data governance, documentation, and standardization of processes and architectures. (For experienced candidates) Provide technical guidance, mentorship, and leadership to junior team members and contribute to architectural decisions.

Preferred Skills: Strong proficiency in Python and SQL (T-SQL, SQL Server) Experience in ETL pipeline development and data integration Hands-on exposure to Azure Data Services (ADF, Azure SQL, Blob Storage) Experience with REST APIs / external data sources Knowledge of data quality, validation, and pipeline monitoring Familiarity with Git/version control Strong analytical and problem-solving skills Experience with Azure Synapse, Azure DevOps, Azure Functions Knowledge of data modeling and warehousing concepts Exposure to Power BI or data visualization tools Understanding of data security and compliance standards Familiarity with .NET / API-based integrations

Candidates once selected are expected to meet objective of compliance to Digital Personal Data Protection Rules, 2025 giving full effect to the DPDP Act, 2023 and Information Security wrt ISMS and ISO/IEC 27001:2022.If already aware it's an advantage. The candidates once on board, are bound to understand the rules and processes and be complaint wrt Digital Personal Data Protection Rules, 2025 giving full effect to the DPDP Act, 2023 and Information Security wrt ISMS and ISO/IEC 27001:2022.The terms and conditions concerning Information Security would be reviewed when laws, regulations, the information security policy or topic specific policies change.

[email protected]

Contact

9287292870

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