Niagara Bottling
Senior Business Intelligence Developer
Join to apply for the
Sr BI Developer
role at
Niagara Bottling .
At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality, most affordable bottled water.
Why Join Niagara Bottling?
Work in an entrepreneurial and dynamic environment with a chance to make an impact.
Develop lasting relationships with great people.
Have the opportunity to build a satisfying career.
We offer competitive compensation and benefits packages for our Team Members.
About the Role The Senior Business Intelligence (BI) Developer will be responsible for designing, developing, implementing, and supporting essential enterprise Business Intelligence solutions. The ideal candidate will possess a strong background in data integration, ETL processes, and business intelligence to deliver scalable and efficient data solutions. This role involves collaborating with cross‑functional teams to gather requirements and leveraging skills and experience to create end‑to‑end solutions, from data acquisition and data modelling to support reporting and visualization. The candidate will continuously assess and adopt new technologies, methodologies and practices to enhance data processing capabilities. This position is crucial in ensuring high‑quality data operations and providing valuable insights to support the organization’s decision‑making processes.
Responsibilities
Design, build, and maintain robust ETL/ELT pipelines using Incorta and Databricks (PySpark, SQL, Delta Lake).
Develop and optimize Spark transformations for processing large‑scale datasets.
Enhance Databricks SQL performance by troubleshooting and tuning slow‑running queries and reports.
Optimize data storage, partitioning, and retrieval for scalability and performance using Z‑Ordering, OPTIMIZE, Auto Compaction, and file size tuning.
Configure and manage Databricks infrastructure components, including Serverless SQL Warehouses and Interactive Clusters.
Collaborate with BI developers and analysts to design and implement data models supporting reporting and analytical needs.
Maintain data quality and integrity through validation, cleansing, and transformation routines.
Enforce data governance, access controls, and compliance standards using Unity Catalog.
Ensure proper configuration management and change control processes are followed.
Partner with offshore teams and actively participate in scrum calls for coordinated delivery.
Work closely with Oracle ERP analysts to identify and resolve data quality or integration issues.
Participate in and manage activities across the entire Software Development Life Cycle (SDLC).
Please note that this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.
Minimum Qualifications
7‑10 years proven experience in data engineering or enterprise data platform development.
Strong expertise in advanced SQL development, including complex transformations, query tuning, and performance optimization across large datasets.
Experience in troubleshooting and resolving ETL/ELT failures, performance bottlenecks, and end‑to‑end BI solution issues.
Expertise in data modeling, dimensional modeling (Star/Snowflake), data mart design, and semantic layer development to support enterprise BI and analytics.
5‑7 years hands‑on experience in PySpark, Spark SQL, and Databricks SQL, building scalable data transformations and lakehouse solutions.
Proven ability to process and optimize large‑scale datasets (terabytes to petabytes) with a focus on partitioning, Z‑ordering, and data compaction.
Experience with cloud platforms like Microsoft Azure, Google Cloud, and OCI Platform.
Experience with Finance, Supply Chain, Manufacturing, Procurement, EAM processes and data elements.
3‑5 years experience implementing data quality frameworks, schema evolution handling, and data validation controls in Databricks or similar ecosystems.
3‑5 years experience with Azure Databricks, including cluster management, workflows, and SQL performance tuning.
0‑2 years experience in Oracle Analytics Cloud Services (OACS) or PowerBI.
Preferred Qualifications
10+ years proven experience in data engineering or enterprise data platform development.
10+ years strong expertise in advanced SQL development and performance optimization.
10+ years expertise in data modeling, dimensional modeling (Star/Snowflake), data mart design, and semantic layer development.
10+ years experience troubleshooting and resolving issues in ETL jobs and BI solutions.
7‑10 years experience understanding Finance, Supply Chain, Manufacturing, Procurement and EAM modules of an ERP application.
5‑7 years experience understanding Fusion ERP cloud, OTM cloud, WMS (Manhattan).
2‑4 years experience with Incorta.
2‑4 years experience with Oracle Hyperion/EPM.
2‑4 years experience with Oracle Analytics Cloud Services (OACS) or PowerBI.
Additional Expectations
Strong analytical and problem‑solving skills with the ability to troubleshoot complex issues.
Excellent communication and interpersonal skills to work with cross‑functional teams and business stakeholders.
Ability to manage multiple tasks and priorities in a fast‑paced environment.
Attention to detail and a commitment to delivering high‑quality, error‑free data solutions.
A strong sense of ownership and accountability, promptly notifying management of any issues that affect his/her ability to accomplish planned goals.
Education
Minimum required: Bachelor’s Degree in Computer Science or Engineering.
Preferred: Master’s Degree in Computer Science or Engineering.
Certification / License
Required: None.
Preferred: Databricks, Azure Cloud.
Typical Compensation Range Pay Rate Type: Salary. $111,766.36 - $159,267.07 / Yearly.
Benefits https://careers.niagarawater.com/us/en/benefits
*Los Angeles County applicants only. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.
Employment Agency Information Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant’s résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.
Niagara Plant Name CORP-MAIN
#J-18808-Ljbffr
Sr BI Developer
role at
Niagara Bottling .
At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality, most affordable bottled water.
Why Join Niagara Bottling?
Work in an entrepreneurial and dynamic environment with a chance to make an impact.
Develop lasting relationships with great people.
Have the opportunity to build a satisfying career.
We offer competitive compensation and benefits packages for our Team Members.
About the Role The Senior Business Intelligence (BI) Developer will be responsible for designing, developing, implementing, and supporting essential enterprise Business Intelligence solutions. The ideal candidate will possess a strong background in data integration, ETL processes, and business intelligence to deliver scalable and efficient data solutions. This role involves collaborating with cross‑functional teams to gather requirements and leveraging skills and experience to create end‑to‑end solutions, from data acquisition and data modelling to support reporting and visualization. The candidate will continuously assess and adopt new technologies, methodologies and practices to enhance data processing capabilities. This position is crucial in ensuring high‑quality data operations and providing valuable insights to support the organization’s decision‑making processes.
Responsibilities
Design, build, and maintain robust ETL/ELT pipelines using Incorta and Databricks (PySpark, SQL, Delta Lake).
Develop and optimize Spark transformations for processing large‑scale datasets.
Enhance Databricks SQL performance by troubleshooting and tuning slow‑running queries and reports.
Optimize data storage, partitioning, and retrieval for scalability and performance using Z‑Ordering, OPTIMIZE, Auto Compaction, and file size tuning.
Configure and manage Databricks infrastructure components, including Serverless SQL Warehouses and Interactive Clusters.
Collaborate with BI developers and analysts to design and implement data models supporting reporting and analytical needs.
Maintain data quality and integrity through validation, cleansing, and transformation routines.
Enforce data governance, access controls, and compliance standards using Unity Catalog.
Ensure proper configuration management and change control processes are followed.
Partner with offshore teams and actively participate in scrum calls for coordinated delivery.
Work closely with Oracle ERP analysts to identify and resolve data quality or integration issues.
Participate in and manage activities across the entire Software Development Life Cycle (SDLC).
Please note that this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.
Minimum Qualifications
7‑10 years proven experience in data engineering or enterprise data platform development.
Strong expertise in advanced SQL development, including complex transformations, query tuning, and performance optimization across large datasets.
Experience in troubleshooting and resolving ETL/ELT failures, performance bottlenecks, and end‑to‑end BI solution issues.
Expertise in data modeling, dimensional modeling (Star/Snowflake), data mart design, and semantic layer development to support enterprise BI and analytics.
5‑7 years hands‑on experience in PySpark, Spark SQL, and Databricks SQL, building scalable data transformations and lakehouse solutions.
Proven ability to process and optimize large‑scale datasets (terabytes to petabytes) with a focus on partitioning, Z‑ordering, and data compaction.
Experience with cloud platforms like Microsoft Azure, Google Cloud, and OCI Platform.
Experience with Finance, Supply Chain, Manufacturing, Procurement, EAM processes and data elements.
3‑5 years experience implementing data quality frameworks, schema evolution handling, and data validation controls in Databricks or similar ecosystems.
3‑5 years experience with Azure Databricks, including cluster management, workflows, and SQL performance tuning.
0‑2 years experience in Oracle Analytics Cloud Services (OACS) or PowerBI.
Preferred Qualifications
10+ years proven experience in data engineering or enterprise data platform development.
10+ years strong expertise in advanced SQL development and performance optimization.
10+ years expertise in data modeling, dimensional modeling (Star/Snowflake), data mart design, and semantic layer development.
10+ years experience troubleshooting and resolving issues in ETL jobs and BI solutions.
7‑10 years experience understanding Finance, Supply Chain, Manufacturing, Procurement and EAM modules of an ERP application.
5‑7 years experience understanding Fusion ERP cloud, OTM cloud, WMS (Manhattan).
2‑4 years experience with Incorta.
2‑4 years experience with Oracle Hyperion/EPM.
2‑4 years experience with Oracle Analytics Cloud Services (OACS) or PowerBI.
Additional Expectations
Strong analytical and problem‑solving skills with the ability to troubleshoot complex issues.
Excellent communication and interpersonal skills to work with cross‑functional teams and business stakeholders.
Ability to manage multiple tasks and priorities in a fast‑paced environment.
Attention to detail and a commitment to delivering high‑quality, error‑free data solutions.
A strong sense of ownership and accountability, promptly notifying management of any issues that affect his/her ability to accomplish planned goals.
Education
Minimum required: Bachelor’s Degree in Computer Science or Engineering.
Preferred: Master’s Degree in Computer Science or Engineering.
Certification / License
Required: None.
Preferred: Databricks, Azure Cloud.
Typical Compensation Range Pay Rate Type: Salary. $111,766.36 - $159,267.07 / Yearly.
Benefits https://careers.niagarawater.com/us/en/benefits
*Los Angeles County applicants only. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.
Employment Agency Information Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant’s résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.
Niagara Plant Name CORP-MAIN
#J-18808-Ljbffr