TalentAQ

TalentAQ

Senior Data Engineer

Data EngineeringFull Time10+ yearsRemote

Required Skills
28 skills

Azure Data Factory
Azure Synapse
Azure Databricks
Python
PySpark
SQL
Spark SQL
Snowflake
AWS Redshift
SQL Server
PostgreSQL
ETL
ELT
Informatica
Talend
SSIS
StreamSets
Big Data
Apache Spark
Kafka
Hadoop
CI/CD
Azure DevOps
GitHub Actions
Terraform
Data Governance
Azure Purview
Unity Catalog

Job Description

<h3>Job Overview</h3><p>We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain our data infrastructure. The ideal candidate will have extensive experience in building and optimizing data pipelines, ensuring data quality, and supporting data-driven decision-making across the organization.</p><h3>Key Responsibilities</h3><ul><li>Design and implement scalable ETL processes using Azure Data Factory, Azure Synapse, and Azure Databricks.</li><li>Develop and maintain data models and schemas in Snowflake, AWS Redshift, SQL Server, and PostgreSQL.</li><li>Utilize Python, PySpark, and SQL to process and analyze large datasets.</li><li>Implement CI/CD pipelines using Azure DevOps, GitHub Actions, and Terraform.</li><li>Ensure data governance and compliance using Azure Purview and Unity Catalog.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in Azure Data Factory, Azure Synapse, and Azure Databricks.</li><li>Strong experience with Python, PySpark, and SQL.</li><li>Solid understanding of ETL/ELT processes and tools.</li></ul>

Job Overview

We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain our data infrastructure. The ideal candidate will have extensive experience in building and optimizing data pipelines, ensuring data quality, and supporting data-driven decision-making across the organization.

Key Responsibilities

  • Design and implement scalable ETL processes using Azure Data Factory, Azure Synapse, and Azure Databricks.
  • Develop and maintain data models and schemas in Snowflake, AWS Redshift, SQL Server, and PostgreSQL.
  • Utilize Python, PySpark, and SQL to process and analyze large datasets.
  • Implement CI/CD pipelines using Azure DevOps, GitHub Actions, and Terraform.
  • Ensure data governance and compliance using Azure Purview and Unity Catalog.

Required Skills

  • Proficiency in Azure Data Factory, Azure Synapse, and Azure Databricks.
  • Strong experience with Python, PySpark, and SQL.
  • Solid understanding of ETL/ELT processes and tools.

Similar Jobs

10000 jobs available

Engineering10+ years
Data Engineering
AWS
Azure
+4 more
Azure Data Factory
ETL
data modeling
+3 more
Azure Data Factory
ETL
Data Modeling
+3 more
Data EngineeringContract7 years
Data Migration
Data Modeling
OLTP
+13 more
EngineeringContractRemote
Spark
PySpark
Snowflake
+1 more
EngineeringFull-time3+ yearsRemote
Data Pipeline Development
Generative AI Integration
Python
+8 more