Responsibilities:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views. </li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components. </li><li>Support and troubleshoot the data environment (including periodically on call) </li><li>Document technical artifacts for developed solutions. </li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships. </li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills. </li><li>Proactive approach to problem solving with effective influencing skills. </li><li>Familiar with Agile practices and methodologies.</li></ul>Education and Experience Qualifications: <ul><li>Four year degree in Information Systems, Finance/Mathematics, Computer Science or similar </li><li>2-4 years of experience in Data Engineering. </li></ul>Required Knowledge, Skills or Abilities:Mandatory: <ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views. </li><li>Focus on ELT to load data into the database and perform transformations in the database. </li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required. </li><li>Data modeling, analysis, and programming (Python) are a must. </li><li>Talend, Apache Airflow, Azure Data Factory, Control - M or any orchestration tools.</li></ul>Good to have: <ul><li>Experience with DevOps models utilizing a CI/CD tool. </li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) </li><li>Analyze data models</li></ul>

Responsibilities:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views. </li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components. </li><li>Support and troubleshoot the data environment (including periodically on call) </li><li>Document technical artifacts for developed solutions. </li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships. </li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills. </li><li>Proactive approach to problem solving with effective influencing skills. </li><li>Familiar with Agile practices and methodologies.</li></ul> Education and Experience Qualifications: <ul><li>Four year degree in Information Systems, Finance/Mathematics, Computer Science or similar </li><li>2-4 years of experience in Data Engineering. </li></ul> Required Knowledge, Skills or Abilities:Mandatory: <ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views. </li><li>Focus on ELT to load data into the database and perform transformations in the database. </li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required. </li><li>Data modeling, analysis, and programming (Python) are a must. </li><li>Talend, Apache Airflow, Azure Data Factory, Control - M or any orchestration tools.</li></ul> Good to have: <ul><li>Experience with DevOps models utilizing a CI/CD tool. </li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) </li><li>Analyze data models</li></ul>

We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills. Responsibilities:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection, and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures, and views.</li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.</li><li>Support and troubleshoot the data environment (including periodically on call)</li><li>Document technical artifacts for developed solutions</li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships</li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills.</li><li>Proactive approach to problem solving with effective influencing skills.</li><li>Familiar with Agile practices and methodologies</li></ul> Education And Experience Requirements:<ul><li>Four year degree in Information Systems, Finance/Mathematics, Computer Science or similar</li><li>2- 4 years of experience in Data Engineering</li></ul> Required Knowledge, Skills Or Abilities:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views</li><li>Focus on ELT to load data into database and perform transformations in database</li><li>Ability to use analytical SQL functions</li><li>Snowflake experience a plus</li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming</li><li>Experience with DevOps models utilizing a CI/CD tool.</li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)</li><li>Talend Or Apache Airflow Or Control _M, AWS Step Functions, Azure Data Factory, any orchestration tool </li><li>BI tools like Tableau preferred</li><li>Analyze data models</li></ul>

We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills. RESPONSIBILITIES:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection, and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures, and views.</li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.</li><li>Support and troubleshoot the data environment (including periodically on call)</li><li>Document technical artifacts for developed solutions</li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships</li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills.</li><li>Proactive approach to problem solving with effective influencing skills.</li><li>Familiar with Agile practices and methodologies</li></ul> EDUCATION AND EXPERIENCE REQUIREMENTS:<ul><li>Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar</li><li>2- 4 years of experience in Data Engineering</li></ul> REQUIRED KNOWLEDGE, SKILLS or ABILITIES:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views</li><li>Focus on ELT to load data into database and perform transformations in database</li><li>Ability to use analytical SQL functions</li><li>Snowflake experience a plus</li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming</li><li>Experience with DevOps models utilizing a CI/CD tool.</li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)</li><li>Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred</li><li>Analyze data models</li></ul>

Key Responsibilities:We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will be required to possess strong technical, analytical, programming and critical thinking skills. Responsibilities:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.</li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components</li><li>Support and troubleshoot the data environment (including periodically on call)</li><li>Document technical artifacts for developed solutions</li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships</li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills</li><li>Proactive approach to problem solving with effective influencing skills</li><li>Familiar with Agile practices and methodologies</li></ul> Education and Experience Qualifications:<ul><li>Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar</li><li>2-4 years of experience in Data Engineering</li></ul> REQUIRED KNOWLEDGE, SKILLS or ABILITIESMandatory:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views.</li><li>Focus on ELT to load data into the database and perform transformations in the database.</li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required.</li><li>Data modeling, analysis, and programming(Python) are a must</li></ul> Good to have:<ul><li>Experience with DevOps models utilizing a CI/CD tool</li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)</li><li>Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred</li><li>Analyze data models</li></ul>

Key Responsibilities:We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will be required to possess strong technical, analytical, programming and critical thinking skills.Responsibilities:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.</li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components</li><li>Support and troubleshoot the data environment (including periodically on call)</li><li>Document technical artifacts for developed solutions</li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships</li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills</li><li>Proactive approach to problem solving with effective influencing skills</li><li>Familiar with Agile practices and methodologies</li></ul>Education and Experience Qualifications:<ul><li>Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar</li><li>2-4 years of experience in Data Engineering</li></ul>REQUIRED KNOWLEDGE, SKILLS or ABILITIESMandatory:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views.</li><li>Focus on ELT to load data into the database and perform transformations in the database.</li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required.</li><li>Data modeling, analysis, and programming(Python) are a must</li></ul>Good to have:<ul><li>Experience with DevOps models utilizing a CI/CD tool</li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)</li><li>Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred</li><li>Analyze data models</li></ul>

Job Description RESPONSIBILITIES:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views. </li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components </li><li>Support and troubleshoot the data environment (including periodically on call) </li><li>Document technical artifacts for developed solutions </li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships </li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills </li><li>Proactive approach to problem solving with effective influencing skills </li><li>Familiar with Agile practices and methodologies </li></ul> EDUCATION AND EXPERIENCE REQUIREMENTS: <ul><li>Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar </li><li>4- 6 years of experience in Data Engineering </li></ul> REQUIRED KNOWLEDGE, SKILLS or ABILITIES:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views </li><li>Focus on ELT to load data into database and perform transformations in database </li><li>Ability to use analytical SQL functions </li><li>Snowflake experience a plus </li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming </li><li>Experience with DevOps models utilizing a CI/CD tool </li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) </li><li>Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred </li><li>Analyze data models </li><li>We are looking for a Senior Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills.</li></ul>

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