Sql + Adf Developer Job at NTT DATA (Remote)

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 role involves designing and maintaining ETL pipelines us...

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
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 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

Principal Data Consultant

10Pearls is seeking a Senior Principal Data Engineer with strong expertise in mo...

Location

Pakistan , Islamabad; Lahore; Karachi

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum 7+ years of experience in Data Engineering and large-scale data platforms
Strong expertise in Big Data technologies including Hadoop, Spark (including Spark Streaming), Kafka, Hive, Airflow, and Apache NiFi
Advanced proficiency in Python and SQL
Hands-on experience with Azure Data Platform services including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Functions, and Logic Apps
or equivalent data stack knowledge within Google Cloud or AWS Cloud
Hands-on experience with Google BigQuery, Google Analytics, and Clickstream data modelling
Strong experience in building and maintaining ETL/ELT pipelines
Proficiency in relational SQL, Graph, NoSQL, and distributed database technologies
Proficiency in Elasticsearch and Couchbase databases

Job Responsibility

Design, develop, and maintain scalable batch and real-time data pipelines to support growing data volume and complexity
Build and optimize data solutions on cloud-based and on-premises data platforms (Azure, AWS, Google Cloud)
Develop data models, data marts, and data domains including laying the foundation for Data Mesh architecture
Implement and maintain ETL/ELT processes for efficient data integration and transformation
Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable data solutions
Ensure data quality, governance, security, and compliance across the full data ecosystem including access controls, data masking, and encryption
Automate deployment, scheduling, monitoring, and management of data pipelines and datasets
Monitor platform performance and troubleshoot data-related issues while providing L2/L3 production support
Develop and maintain data orchestration frameworks and DataOps best practices
Optimize existing data infrastructure and recommend improvements for scalability and performance

Fulltime

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Sql + Adf Developer

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Sql + Adf Developer

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