11 Jinja Jobs

Skill required: Delivery - Marketing Analytics and Reporting Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIAnalytical processes and technologies applied to marketing-related data to help businesses understand and deliver relevant experiences for their audiences, understand their competition, measure and optimize marketing campaigns, and optimize their return on investment. What are we looking for? Data Analytics - with a specialization in the marketing domain*Domain Specific skills* Familiarity with ad tech and B2B sales*Technical Skills* Proficiency in SQL and Python Experience in efficiently building, publishing & maintaining robust data models & warehouses for self-ser querying, advanced data science & ML analytic purposes Experience in conducting ETL / ELT with very large and complicated datasets and handling DAG data dependencies. Strong proficiency with SQL dialects on distributed or data lake style systems (Presto, BigQuery, Spark/Hive SQL, etc.), including SQL-based experience in nested data structure manipulation, windowing functions, query optimization, data partitioning techniques, etc. Knowledge of Google BigQuery optimization is a plus. Experience in schema design and data modeling strategies (e.g. dimensional modeling, data vault, etc.) Significant experience with dbt (or similar tools), Spark-based (or similar) data pipelines General knowledge of Jinja templating in Python. Hands-on experience with cloud provider integration and automation via CLIs and APIs*Soft Skills* Ability to work well in a team Agility for quick learning Written and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Building Tool Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Key Responsibilities:a Overall 12+ of data experience including 5+ years on Snowflake and 3+ years on DBT (Core and Cloud)b Played a key role in DBT related discussions with teams and clients to understand business problems and solutioning requirementsc As a DBT SME liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities. Technical Experience:a Strong Experience working as a Snowflake on Cloud DBT Data Architect with thorough knowledge of different servicesb Ability to architect solutions from OnPrem to cloud and create end to end data pipelines using DBT c Excellent process knowledge in one or more of the following areas:Finance, Healthcare, Customer Experienced Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake featurese DBT (Core and Cloud) end to end migration experience that includes DBT migration - Refactoring SQL for modularity, DBT modeling experience (.sql or .py files credbt job scheduling on atleast 2 projectsf Knowledge of Jinja template language (Macros) would be added advantageg Knowledge of Special features like DBT documentation, semantic layers creation, webhooks etc.h DBT and cloud certification is important.i Develop, fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI.j Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support.k Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots.l Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions.m Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives.n Stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities.o Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Professional Attributes:a client management, stakeholder management, collaboration, interpersonal and relationship building skillsb Ability to create innovative solutions for key business challengesc Eagerness to learn and develop self on an ongoing basisd Structured communication written, verbal and presentational. Educational Qualification:a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Building Tool Good to have skills : Data EngineeringMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with various teams to ensure that the integration between systems and data models is seamless and efficient. You will engage in discussions to refine the architecture and design, ensuring that the data platform meets the needs of the organization while adhering to best practices. Additionally, you will be involved in problem-solving sessions, where you will provide insights and solutions to enhance the overall data strategy. Key Responsibilities:a Overall 12+ of data experience including 5+ years on Snowflake and 3+ years on DBT (Core and Cloud)b Played a key role in DBT related discussions with teams and clients to understand business problems and solutioning requirementsc As a DBT SME liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities. Technical Experience:a Strong Experience working as a Snowflake on Cloud DBT Data Architect with thorough knowledge of different servicesb Ability to architect solutions from OnPrem to cloud and create end to end data pipelines using DBT c Excellent process knowledge in one or more of the following areas:Finance, Healthcare, Customer Experienced Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake featurese DBT (Core and Cloud) end to end migration experience that includes DBT migration - Refactoring SQL for modularity, DBT modeling experience (.sql or .py files credbt job scheduling on at least 2 projectsf Knowledge of Jinja template language (Macros) would be added advantageg Knowledge of Special features like DBT documentation, semantic layers creation, webhooks etc.h DBT and cloud certification is important.i Develop, fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI.j Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support.k Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots.l Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions.m Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives.n Stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities.o Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Professional Attributes:a client management, stakeholder management, collaboration, interpersonal and relationship building skillsb Ability to create innovative solutions for key business challengesc Eagerness to learn and develop self on an ongoing basis Educational Qualification:a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Building Tool Good to have skills : Data EngineeringMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to navigate complex data environments, providing insights and recommendations that drive effective data management and governance practices. Key Responsibilities:a Overall 12+ of data experience including 5+ years on Snowflake and 3+ years on DBT (Core and Cloud)b Played a key role in DBT related discussions with teams and clients to understand business problems and solutioning requirementsc As a DBT SME liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities Technical Experience:a Strong Experience working as a Snowflake on Cloud DBT Data Architect with thorough knowledge of different servicesb Ability to architect solutions from OnPrem to cloud and create end to end data pipelines using DBT c Excellent process knowledge in one or more of the following areas:Finance, Healthcare, Customer Experienced Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake featurese DBT (Core and Cloud) end to end migration experience that includes DBT migration - Refactoring SQL for modularity, DBT modeling experience (.sql or .py files credbt job scheduling on atleast 2 projectsf Knowledge of Jinja template language (Macros) would be added advantageg Knowledge of Special features like DBT documentation, semantice layers creation, webhooks etc.h DBT and cloud certification is important.i Develop, fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI.j Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support.k Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots.l Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions.m Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives.n Stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities.o Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Professional Attributes:a client management, stakeholder management, collaboration, interpersonal and relationship building skillsb Ability to create innovative solutions for key business challengesc Eagerness to learn and develop self on an ongoing basisd Structured communication written, verbal and presentational. Educational Qualification:a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Building Tool Good to have skills : Data EngineeringMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.Key Responsibilities:a Overall 12+ of data experience including 5+ years on Snowflake and 3+ years on DBT (Core and Cloud)b Played a key role in DBT related discussions with teams and clients to understand business problems and solutioning requirementsc As a DBT SME liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities. Technical Experience:a Strong Experience working as a Snowflake on Cloud DBT Data Architect with thorough knowledge of different servicesb Ability to architect solutions from OnPrem to cloud and create end to end data pipelines using DBT c Excellent process knowledge in one or more of the following areas:Finance, Healthcare, Customer Experienced Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake featurese DBT (Core and Cloud) end to end migration experience that includes DBT migration - Refactoring SQL for modularity, DBT modeling experience (.sql or .py files credbt job scheduling on at least 2 projectsf Knowledge of Jinja template language (Macros) would be added advantageg Knowledge of Special features like DBT documentation, semantic layers creation, webhooks etc.h DBT and cloud certification is important.i Develop, fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI.j Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support.k Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots.l Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions.m Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives.n Stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities.o Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Professional Attributes:a client management, stakeholder management, collaboration, interpersonal and relationship building skillsb Ability to create innovative solutions for key business challengesc Eagerness to learn and develop self on an ongoing basis Educational Qualification:a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Qualification 15 years full time education

We are looking for a Python/Django developer who is well versed in Python language as well as in use of Django framework. Knowledge of other python web frameworks is an advantage. Skills Needed Expert in Python (3+ years experience) Proficient in Django Development Framework Good understanding of REST Architecture Proficiency in writing regular expressions Familiarity with ORM libraries Hands-on experience with application deployment Knowledge of user authentication and authorization across multiple systems/environments Understanding of fundamental design principles behind scalable & distributed applications Ability to design a modular, maintainable system for moderately complex problems (multiple interactions/cases). Able to integrate multiple data sources and databases into one system Understanding of multi-threaded/multi-process architecture (e.g., Celery) Good understanding of server-side templating languages (Jinja) Basic front-end skills: JavaScript, HTML5, and CSS3 Able to create database schemas that represent and support business processes Strong unit testing and debugging skills Solid understanding of Git for version control Other Technologies Experience RabbitMQ (Message Broker Systems) Elasticsearch Databases: MySQL, PostgreSQL, MongoDB Server Tools: Nginx, Supervisor

We are looking for a Python/Django developer who is well versed in Python language as well as in use of Django framework. Knowledge of other python web frameworks is an advantage. Skills Needed Expert in Python (3+ years experience) Proficient in Django Development Framework Good understanding of REST Architecture Proficiency in writing regular expressions Familiarity with ORM libraries Hands-on experience with application deployment Knowledge of user authentication and authorization across multiple systems/environments Understanding of fundamental design principles behind scalable & distributed applications Ability to design a modular, maintainable system for moderately complex problems (multiple interactions/cases). Able to integrate multiple data sources and databases into one system Understanding of multi-threaded/multi-process architecture (e.g., Celery) Good understanding of server-side templating languages (Jinja) Basic front-end skills: JavaScript, HTML5, and CSS3 Able to create database schemas that represent and support business processes Strong unit testing and debugging skills Solid understanding of Git for version control Other Technologies Experience RabbitMQ (Message Broker Systems) Elasticsearch Databases: MySQL, PostgreSQL, MongoDB Server Tools: Nginx, Supervisor

Role Description: As an Informatica PL/SQL Developer, you will be a key contributor to our client's data integration initiatives. You will be responsible for developing ETL processes, performing database performance tuning, and ensuring the quality and reliability of data solutions. Your experience with PostgreSQL, DBT, and cloud technologies will be highly valuable. Responsibilities : - Design, develop, and maintain ETL processes using Informatica and PL/SQL. - Implement ETL processes using DBT with Jinja and automated unit tests. - Develop and maintain data models and schemas. - Ensure adherence to best development practices. - Perform database performance tuning in PostgreSQL. - Optimize SQL queries and stored procedures. - Identify and resolve performance bottlenecks. - Integrate data from various sources, including Kafka/MQ and cloud platforms (Azure). - Ensure data consistency and accuracy across integrated systems. - Work within an agile environment, participating in all agile ceremonies. - Contribute to sprint planning, daily stand-ups, and retrospectives. - Collaborate with cross-functional teams to deliver high-quality solutions. - Troubleshoot and resolve data integration and database issues. - Provide technical support to stakeholders. - Create and maintain technical documentation for ETL processes and database designs. - Clearly articulate complex technical issues to stakeholders. Qualifications : Experience : - 5 to 8 years of experience as an Informatica PL/SQL Developer or similar role. - Hands-on experience with Data Models and DB Performance tuning in PostgreSQL. - Experience in implementing ETL processes using DBT with Jinja and automated Unit Tests. - Strong proficiency in PL/SQL and Informatica. - Experience with Kafka/MQ and cloud platforms (Azure). - Familiarity with ETL processes using DataStage is a plus. - Strong SQL skills.

Role Description: As an Informatica PL/SQL Developer, you will be a key contributor to our client's data integration initiatives. You will be responsible for developing ETL processes, performing database performance tuning, and ensuring the quality and reliability of data solutions. Your experience with PostgreSQL, DBT, and cloud technologies will be highly valuable. Responsibilities : - Design, develop, and maintain ETL processes using Informatica and PL/SQL. - Implement ETL processes using DBT with Jinja and automated unit tests. - Develop and maintain data models and schemas. - Ensure adherence to best development practices. - Perform database performance tuning in PostgreSQL. - Optimize SQL queries and stored procedures. - Identify and resolve performance bottlenecks. - Integrate data from various sources, including Kafka/MQ and cloud platforms (Azure). - Ensure data consistency and accuracy across integrated systems. - Work within an agile environment, participating in all agile ceremonies. - Contribute to sprint planning, daily stand-ups, and retrospectives. - Collaborate with cross-functional teams to deliver high-quality solutions. - Troubleshoot and resolve data integration and database issues. - Provide technical support to stakeholders. - Create and maintain technical documentation for ETL processes and database designs. - Clearly articulate complex technical issues to stakeholders. Qualifications : Experience : - 5 to 8 years of experience as an Informatica PL/SQL Developer or similar role. - Hands-on experience with Data Models and DB Performance tuning in PostgreSQL. - Experience in implementing ETL processes using DBT with Jinja and automated Unit Tests. - Strong proficiency in PL/SQL and Informatica. - Experience with Kafka/MQ and cloud platforms (Azure). - Familiarity with ETL processes using DataStage is a plus. - Strong SQL skills. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

IBM Software Labs are research and development centers that create products, technology, and solutions for IBM. As member of zSW you will be having opportunity to work on emerging technologies to drive digital transformation for IBM and its clients. You will be part of worldwide zSW development organization that development product and offering to support customers in their hybrid cloud and AI journey. As a fullstack developer you will work within a squad model, responsible for development and test cases. Collaborate closely with the team, ensuring holistic and organic changes to projects. Operate across the entire technical stack, switching contexts as needed between pipeline activities, Ansible development, and infrastructure automation. Design, implement, and adapt solutions based on project requirements. Create clear and concise documentation using playbooks, Markdown (MD), and reStructuredText (RST). Engage in open-source development and interact with Fortune 500 clients, requiring strong communication and adaptability. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3+ years of software development experience in Python and Shell Programming (including regex) 2+ years of experience in Ansibile developing (Jinja, Playbooks, Rulebooks). 3+ years experience in developing application for embedded, Enterprise or operating system development (knowledge of IBMz/LinuxONE is advantageous). Comfortable with Linux/Unix development environment (command line development, configuration, libraries,..etc). Familiar with Linux system administration (Linux/Unix fundamentals, administration experience.) Strong analytical, debugging and problem solving skills to analyse issues and defects reported by customer-facing and test teams. Proficient in source control management tools (GitHub, ) and with Agile Life Cycle Management tools. Preferred technical and professional experience Preferred Technical and Professional Expertise Experience in Containerisation & Orchestration technologies like Docker, Podman, Kubernetes, OpenShift. Familiar with Cloud Computing IBM Cloud, Azure, AWS. Experience creating scalable, reusable deployments. Understanding URLs, endpoints, authentication, authorization, parsing JSON/YAML structures. General Skills & Work Environment Ability to adapt to a dynamic DevOps environment with evolving technologies. Familiarity with open-source contributions and community engagement. Exposure to new-to-z/OS technologies such as Terraform, Prometheus, and other automation tools.

IBM Software Labs are research and development centers that create products, technology, and solutions for IBM. As member of zSW you will be having opportunity to work on emerging technologies to drive digital transformation for IBM and its clients. You will be part of worldwide zSW development organization that development product and offering to support customers in their hybrid cloud and AI journey. As a fullstack developer you will work within a squad model, responsible for development and test cases. Collaborate closely with the team, ensuring holistic and organic changes to projects. Operate across the entire technical stack, switching contexts as needed between pipeline activities, Ansible development, and infrastructure automation. Design, implement, and adapt solutions based on project requirements. Create clear and concise documentation using playbooks, Markdown (MD), and reStructuredText (RST). Engage in open-source development and interact with Fortune 500 clients, requiring strong communication and adaptability. Required education Bachelor's Degree Required technical and professional expertise 3 - 5 years of software development experience in Python and Shell Programming (including regex) 2+ years of experience in Ansibile developing (Jinja, Playbooks, Rulebooks). 3+ years experience in developing application for embedded, Enterprise or operating system development (knowledge of IBMz/LinuxONE is advantageous). Comfortable with Linux/Unix development environment (command line development, configuration, libraries,..etc). Familiar with Linux system administration (Linux/Unix fundamentals, administration experience.) Strong analytical, debugging and problem solving skills to analyse issues and defects reported by customer-facing and test teams. Proficient in source control management tools (GitHub, ) and with Agile Life Cycle Management tools.