Senior Cloud Engineer, Data & Analytics IND

About Kinaxis

Location

Chennai India

About the role & team

The Data & Analytics team drives Kinaxis transformation into a data-driven organization. By designing and governing scalable modern data ecosystems we ensure reliable high-quality and accessible data that empowers decision-making across the company. Our expertise spans data integration engineering governance business intelligence and cloud cost optimization enabling actionable insights operational efficiency and new business opportunities.

We are seeking a Senior Data & Analytics Engineer to help modernize and advance our data ecosystem. This cross-functional role involves data integration engineering modeling business intelligence and observability. You will collaborate with stakeholders and team members to transform legacy systems into a cloud-native modern data stack crafting innovative data products that enable data-driven decision-making across Kinaxis.

Your contributions will support the foundation of Kinaxis strategic data initiatives by ensuring the quality and reliability of data pipelines that impact operational decision-making and enabling new revenues streams for the your ability to engage stakeholders and craft compelling data stories will be critical to your success in this role.

What you will do

Modernization & Development:

• • Assist in the transition of legacy systems to a cloud-native modern data stack leveraging tools such as dbt BigQuery Looker CI/CD Git Databricks PowerBI Datadog and Grafana.

  • Help build innovative scalable and reliable data products that support Kinaxis strategic goals.

  • Build and maintain robust scalable and efficient data pipelines (batch and stream-based).

  • Build and maintain application to application data connectors

  • Implement data validation cleansing and error-handling mechanisms to maintain high data quality and reliability.

  • Stay up to date on the latest technology trends and best practices as they relate to your role.

Collaboration & Solution Design:

• • Partner with cross-functional teams to design and deliver data solutions that meet business needs.

  • Collaborate with peers specializing in FinOps Data Architecture Data Governance and Cloud Engineering to address diverse organizational needs.

  • Troubleshoot complex data engineering challenges with a focus on scalability and reliability.

  • Work collaboratively to prioritize tasks and deliver solutions in an agile environment.

  • Play a leadership role in project delivery and troubleshoot complex problems.

  • Help train and mentor junior engineers.

Insights & Enablement:

• • Develop data models and dashboards to empower stakeholders with actionable insights.

  • Develop and maintain BI models and visually appealing reports/dashboards

  • Champion data-driven decision-making by ensuring stakeholders have access to meaningful high-quality data.

Storytelling & Influence:

• • Deliver compelling presentations and narratives to engage stakeholders and influence leadership.

  • Advocate for innovative data strategies that align with Kinaxis growth and innovation objectives.

What we are looking for

• 7 years in data engineering analytics engineering software engineering or related fields.

• Demonstrated expertise in traditional and modern data systems with hands-on experience building scalable reliable solutions.

• Hands-on experience with tools such as Snowflake Databricks Informatica dbt BigQuery Looker and/or Power BI.

• Proficiency in software engineering principles including CI/CD pipelines version control (Git)) RESTful APIs and scripting languages (Python SQL)

• Familiarity with cloud infrastructure and supportive Observability tooling (Logstash Datadog Grafana)

• Strong problem-solving abilities with a customer-centric and innovative mindset.

• Exceptional storytelling and presentation skills for engaging stakeholders and influencing leadership.

• Passion for solving complex problems a collaborative spirit and a drive to deliver impactful solutions.

• Google Cloud Professional Data Engineer certification is a plus

• Familiarity with infrastructure-as-code (Terraform) and/or configuration-as-code (Ansible)

• Familiarity with FinOps and the ability to implement cost-saving strategies in the cloud is a plus

• Experience working for a SaaS company is a plus

#LI-RJ1 # Fulltime

Work With Impact:Our platform directly helps companies power the worlds supply chains. We see the results of what we do out in the world every daywhen we see store shelves stocked when medications are available for our loved ones and so much more.

Work with Fortune 500 Brands:Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford Unilever Yamaha P&G Lockheed-Martin and more.

Social Responsibility at Kinaxis:Our Diversity Equity and Inclusion Committee weighs in on hiring practices talent assessment training materials and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and were committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matterat Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons

For more information visit the Kinaxis web site at the companys blog at.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates including those with specific needs or disabilities. If you require an accommodation please reach out to us at Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education experience and skills most closely match the requirements of the role. After the initial screening all subsequent decisions regarding your application including final selection are made by our human recruitment team. AI does not make any final hiring decisions.