Sr. Data Engineer
Experience: 5+ Years
Job Location: Remote
No. of Positions: Multiple
Qualifications: BE/B Tech,
ME/MTech, MCA or Higher
Work Timings: 1:30 PM IST to 10:30 PM IST
Functional Area: Database
Development
We are looking for a Senior Database Engineer/Data Engineer (Azure) with strong
experience in Azure cloud, advanced SQL skills, and hands-on expertise in
building scalable data pipelines and database solutions. The role involves
end-to-end data engineering, performance tuning, Azure development, and
ensuring secure, reliable, and optimized data workflows.
Key Responsibilities
Design and maintain relational
database schemas and optimize SQL queries, stored procedures, and scripts.
Build, optimize, and
maintain dynamic and parameterized Azure Data Factory (ADF) pipelines with
robust error handling and retry logic.
Develop scalable
data processing workflows using Azure Databricks & PySpark.
Work on Azure Synapse
Analytics and write advanced T-SQL queries for data validation across
SQL Server and Synapse.
Manage ADLS Gen2 with Delta Lake /
Lakehouse design (Bronze/Silver/Gold layers).
Perform performance tuning for
SQL queries and Spark jobs.
Implement and
maintain CI/CD pipelines using Azure DevOps/Git for
version-controlled, unified deployments.
Work with Service Principals
and Managed Identities for secure access.
Monitor and troubleshoot
database and pipeline performance.
Administer SQL Server /
PostgreSQL, ensuring high availability, security, and DR processes.
Support modernization and cloud
migration initiatives (e.g., SSIS to Azure).
Collaborate with
cross-functional teams across applications, analytics, and data
engineering.
Required Skills & Experience
5+ years of experience in Data
Engineering / Database Development.
Strong proficiency in SQL
Server or PostgreSQL; expertise in T-SQL and query optimization.
Hands-on expertise
in ADF, Azure Databricks, PySpark, and Azure Synapse.
Solid understanding
of ADLS
Gen2,
Delta Lake, and Lakehouse architecture.
Experience with CI/CD using
Azure DevOps/Git.
Knowledge of Service Principals
and Managed Identities.
Strong performance tuning
skills (SQL + Spark).
Experience working with
international clients (USA/Europe).
Excellent analytical and
communication skills.
Apply Now
Job Location: Remote
No. of Positions: Multiple
Qualifications: BE/B Tech,
ME/MTech, MCA or Higher
Work Timings: 1:30 PM IST to 10:30 PM IST
Functional Area: Database
Development
We are looking for a Senior Database Engineer/Data Engineer (Azure) with strong
experience in Azure cloud, advanced SQL skills, and hands-on expertise in
building scalable data pipelines and database solutions. The role involves
end-to-end data engineering, performance tuning, Azure development, and
ensuring secure, reliable, and optimized data workflows.
Key Responsibilities
Design and maintain relational
database schemas and optimize SQL queries, stored procedures, and scripts.
Build, optimize, and
maintain dynamic and parameterized Azure Data Factory (ADF) pipelines with
robust error handling and retry logic.
Develop scalable
data processing workflows using Azure Databricks & PySpark.
Work on Azure Synapse
Analytics and write advanced T-SQL queries for data validation across
SQL Server and Synapse.
Manage ADLS Gen2 with Delta Lake /
Lakehouse design (Bronze/Silver/Gold layers).
Perform performance tuning for
SQL queries and Spark jobs.
Implement and
maintain CI/CD pipelines using Azure DevOps/Git for
version-controlled, unified deployments.
Work with Service Principals
and Managed Identities for secure access.
Monitor and troubleshoot
database and pipeline performance.
Administer SQL Server /
PostgreSQL, ensuring high availability, security, and DR processes.
Support modernization and cloud
migration initiatives (e.g., SSIS to Azure).
Collaborate with
cross-functional teams across applications, analytics, and data
engineering.
Required Skills & Experience
5+ years of experience in Data
Engineering / Database Development.
Strong proficiency in SQL
Server or PostgreSQL; expertise in T-SQL and query optimization.
Hands-on expertise
in ADF, Azure Databricks, PySpark, and Azure Synapse.
Solid understanding
of ADLS
Gen2,
Delta Lake, and Lakehouse architecture.
Experience with CI/CD using
Azure DevOps/Git.
Knowledge of Service Principals
and Managed Identities.
Strong performance tuning
skills (SQL + Spark).
Experience working with
international clients (USA/Europe).
Excellent analytical and
communication skills.
Apply Now