SQL + ADF developer Job at NTT DATA (Remote)

Sql + Adf Developer

JD of Data Engineer ( SQL + ADF Developer )

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL, including advanced query optimization and stored procedures
Hands-on experience with Azure Data Factory (ADF) for building and managing data pipelines
Exposure to Azure ecosystem components such as Data Lake, Synapse, and related services
Solid understanding of ETL concepts and data integration best practices
Ability to troubleshoot and optimize ADF workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Knowledge of data governance, security, and compliance within cloud environments
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift

Job Responsibility

Design, develop, and maintain robust ETL pipelines using Azure Data Factory (ADF) for data integration
Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets
Implement data workflows and orchestrations in ADF, ensuring scalability and reliability
Collaborate with data architects and analysts to deliver high-quality data solutions aligned with business needs
Monitor and troubleshoot ADF pipelines, resolving failures and optimizing performance
Ensure data security, compliance, and governance standards are met within the Azure environment
Perform performance tuning for SQL queries and ADF activities to meet SLA requirements
Document ETL processes, pipeline configurations, and data flow diagrams for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift
Continuously explore and implement best practices for Azure-based data engineering solutions

Fulltime

Sql + Adf Developer

We are currently seeking a SQL + ADF developer to join our team in Bangalore, Ka...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL, including advanced query optimization and stored procedures
Hands-on experience with Azure Data Factory (ADF) for building and managing data pipelines
Exposure to Azure ecosystem components such as Data Lake, Synapse, and related services
Solid understanding of ETL concepts and data integration best practices
Ability to troubleshoot and optimize ADF workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Knowledge of data governance, security, and compliance within cloud environments
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift

Job Responsibility

Design, develop, and maintain robust ETL pipelines using Azure Data Factory (ADF) for data integration
Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets
Implement data workflows and orchestrations in ADF, ensuring scalability and reliability
Collaborate with data architects and analysts to deliver high-quality data solutions aligned with business needs
Monitor and troubleshoot ADF pipelines, resolving failures and optimizing performance
Ensure data security, compliance, and governance standards are met within the Azure environment
Perform performance tuning for SQL queries and ADF activities to meet SLA requirements
Document ETL processes, pipeline configurations, and data flow diagrams for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift
Continuously explore and implement best practices for Azure-based data engineering solutions

Fulltime

SQL + ADF developer

The SQL + ADF Developer role involves designing and maintaining ETL pipelines us...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL, including advanced query optimization and stored procedures
Hands-on experience with Azure Data Factory (ADF) for building and managing data pipelines
Exposure to Azure ecosystem components such as Data Lake, Synapse, and related services
Solid understanding of ETL concepts and data integration best practices
Ability to troubleshoot and optimize ADF workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Knowledge of data governance, security, and compliance within cloud environments
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift

Job Responsibility

Design, develop, and maintain robust ETL pipelines using Azure Data Factory (ADF) for data integration
Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets
Implement data workflows and orchestrations in ADF, ensuring scalability and reliability
Collaborate with data architects and analysts to deliver high-quality data solutions aligned with business needs
Monitor and troubleshoot ADF pipelines, resolving failures and optimizing performance
Ensure data security, compliance, and governance standards are met within the Azure environment
Perform performance tuning for SQL queries and ADF activities to meet SLA requirements
Document ETL processes, pipeline configurations, and data flow diagrams for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift
Continuously explore and implement best practices for Azure-based data engineering solutions

Fulltime

SQL + ADF developer

We are currently seeking a SQL + ADF developer to join our team in Bangalore, Ka...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL, including advanced query optimization and stored procedures
Hands-on experience with Azure Data Factory (ADF) for building and managing data pipelines
Exposure to Azure ecosystem components such as Data Lake, Synapse, and related services
Solid understanding of ETL concepts and data integration best practices
Ability to troubleshoot and optimize ADF workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Knowledge of data governance, security, and compliance within cloud environments
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift

Job Responsibility

Design, develop, and maintain robust ETL pipelines using Azure Data Factory (ADF) for data integration
Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets
Implement data workflows and orchestrations in ADF, ensuring scalability and reliability
Collaborate with data architects and analysts to deliver high-quality data solutions aligned with business needs
Monitor and troubleshoot ADF pipelines, resolving failures and optimizing performance
Ensure data security, compliance, and governance standards are met within the Azure environment
Perform performance tuning for SQL queries and ADF activities to meet SLA requirements
Document ETL processes, pipeline configurations, and data flow diagrams for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift
Continuously explore and implement best practices for Azure-based data engineering solutions

SQL + ADF developer

The SQL + ADF Developer role involves designing and maintaining ETL pipelines us...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL, including advanced query optimization and stored procedures
Hands-on experience with Azure Data Factory (ADF) for building and managing data pipelines
Exposure to Azure ecosystem components such as Data Lake, Synapse, and related services
Solid understanding of ETL concepts and data integration best practices
Ability to troubleshoot and optimize ADF workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Knowledge of data governance, security, and compliance within cloud environments
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift

Job Responsibility

Design, develop, and maintain robust ETL pipelines using Azure Data Factory (ADF) for data integration
Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets
Implement data workflows and orchestrations in ADF, ensuring scalability and reliability
Collaborate with data architects and analysts to deliver high-quality data solutions aligned with business needs
Monitor and troubleshoot ADF pipelines, resolving failures and optimizing performance
Ensure data security, compliance, and governance standards are met within the Azure environment
Perform performance tuning for SQL queries and ADF activities to meet SLA requirements
Document ETL processes, pipeline configurations, and data flow diagrams for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift
Continuously explore and implement best practices for Azure-based data engineering solutions

Fulltime

SQL + ADF developer

The SQL + ADF Developer will design and maintain ETL pipelines using Azure Data ...

Location

India

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL, including advanced query optimization and stored procedures
Hands-on experience with Azure Data Factory (ADF) for building and managing data pipelines
Exposure to Azure ecosystem components such as Data Lake, Synapse, and related services
Solid understanding of ETL concepts and data integration best practices
Ability to troubleshoot and optimize ADF workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Knowledge of data governance, security, and compliance within cloud environments
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift
A bachelor's degree in Computer Science is required, along with 3-5 years of relevant experience

Job Responsibility

Design, develop, and maintain robust ETL pipelines using Azure Data Factory (ADF) for data integration
Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets
Implement data workflows and orchestrations in ADF, ensuring scalability and reliability
Collaborate with data architects and analysts to deliver high-quality data solutions aligned with business needs
Monitor and troubleshoot ADF pipelines, resolving failures and optimizing performance
Ensure data security, compliance, and governance standards are met within the Azure environment
Perform performance tuning for SQL queries and ADF activities to meet SLA requirements
Document ETL processes, pipeline configurations, and data flow diagrams for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift
Continuously explore and implement best practices for Azure-based data engineering solutions

Fulltime

SQL + ADF developer

The SQL + ADF Developer role involves designing and maintaining ETL pipelines us...

Location

India

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in SQL, including advanced query optimization and stored procedures
Hands-on experience with Azure Data Factory (ADF) for building and managing data pipelines
Exposure to Azure ecosystem components such as Data Lake, Synapse, and related services
Solid understanding of ETL concepts and data integration best practices
Ability to troubleshoot and optimize ADF workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Knowledge of data governance, security, and compliance within cloud environments
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift
A bachelor's degree in Computer Science or a related field is required, along with 3-5 years of relevant experience

Job Responsibility

Design, develop, and maintain robust ETL pipelines using Azure Data Factory (ADF) for data integration
Write and optimize complex SQL queries for data extraction, transformation, and loading across large datasets
Implement data workflows and orchestrations in ADF, ensuring scalability and reliability
Collaborate with data architects and analysts to deliver high-quality data solutions aligned with business needs
Monitor and troubleshoot ADF pipelines, resolving failures and optimizing performance
Ensure data security, compliance, and governance standards are met within the Azure environment
Perform performance tuning for SQL queries and ADF activities to meet SLA requirements
Document ETL processes, pipeline configurations, and data flow diagrams for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift
Continuously explore and implement best practices for Azure-based data engineering solutions

Fulltime

New

Databricks Engineer

Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and da...

Location

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

Databricks, PySpark, Delta Lake
Azure Databricks, Azure Data Lake Storage (ADLS Gen2)
Python, SQL, Spark
Snowflake, business intelligence tools
Azure Data Factory (ADF), Azure Functions
Databricks Unity Catalog
Azure DevOps, GitHub Actions, Infrastructure-as-Code (Terraform)
Spark, Kafka, Event Hubs
Airflow, dbt

Job Responsibility

Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data integration solutions using Databricks, PySpark, and Delta Lake
Build and optimize cloud-native lakehouse architectures leveraging Azure Databricks, Azure Data Lake Storage (ADLS Gen2), and modern data engineering best practices
Develop robust data ingestion frameworks supporting structured, semi-structured, and unstructured data sources
Create high-performance data transformation workflows using Python, SQL, Spark, and Databricks notebooks
Design, implement, and optimize data models, schemas, partitioning strategies, and storage structures for large-scale analytics workloads
Integrate Databricks environments with downstream platforms including Snowflake, business intelligence tools, APIs, enterprise applications, and reporting solutions
Utilize Azure Data Factory (ADF), Azure Functions, and Azure ecosystem services to support end-to-end data platform operations
Implement and manage Databricks Unity Catalog, data governance frameworks, security controls, data lineage, and access management processes
Monitor, troubleshoot, tune, and optimize data pipeline performance, reliability, scalability, and operational efficiency
Develop and support CI/CD pipelines using Azure DevOps, GitHub Actions, Infrastructure-as-Code (Terraform), and modern DevOps practices

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SQL + ADF developer

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