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Reqpedia
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Cloud Data Engineer + QA

Cloud Data Engineer + QA

Reqpedia

3 years

0 Lacs

delhi india

Posted:5 days ago| Platform:

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Skills Required

data engineering sql server azure integration logic storage etl scripting processing github agile migration communication collaboration database development analytics certifications design migrate adf devops consistency compliance security

Work Mode

On-site

Job Type

Full Time

Job Description

Cloud Data Engineer + QA

Location:

Experience:

Employment Type:

Domain:

Position Overview

Cloud Data Engineer with QA

Required Qualifications

3+ years of experience as a Cloud Data Engineer
Strong hands-on experience with
Azure Cloud data tools
:
Azure Data Factory (ADF)
Self-hosted Integration Runtime (SHIR)
Logic Apps
Azure Data Lake Storage Gen2 (ADLS Gen2)
Blob Storage
Expertise in
Snowflake
for cloud data warehousing
Proficient in
ETL development
using
SQL Server
,
SSIS
, and
T-SQL
Solid scripting skills in
Python
for data processing and validation
Experience implementing
CI/CD pipelines
using
GitHub Actions
Familiarity with
Agile methodologies
Proven experience in
data validation
,
unit testing
, and
QA
for data migration projects
Strong analytical mindset and attention to detail
Excellent communication and collaboration skills
Ability to work independently and adapt to new technologies quickly

Preferred Qualifications

Experience with
data modeling
and
database design
Knowledge of
data governance
and
data quality best practices
Hands-on development experience in
Databricks
for data engineering and analytics workloads
Familiarity with other cloud platforms:
AWS
,
Google Cloud
Certifications in
Azure
or
Snowflake
(preferred)

Key Responsibilities

Design, develop, and implement scalable data platform solutions using Azure and Snowflake
Migrate and modernize on-premises ETL pipelines (SSIS, T-SQL) to cloud-native solutions
Build and optimize data pipelines using ADF, SHIR, Logic Apps, and ADLS Gen2
Implement DevOps practices and CI/CD workflows using GitHub Actions
Collaborate with cross-functional teams to ensure seamless data integration and delivery
Conduct thorough
data validation and QA testing
to ensure consistency and accuracy
Troubleshoot and optimize data workflows for performance and reliability
Ensure compliance with data security and industry standards

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