Senior Engineer, Data & Analytics IND
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Posted on:
30+ days ago
Vacancies:
1 Vacancy
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Job Summary
About Kinaxis
Are you looking to join an innovative market-leading company where you can truly elevate your career At Kinaxis we are serious about culture we are serious about technology we are serious about customers and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story then we might just be the place for you!
In 1984 we started out as a team of three engineers. Today we have grown to become a global organization with over 2000 employees around the world 6 global office and a best-in-class HQ in Ottawa Canada. As winners of several Top Employer awards globally we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.
Kinaxis is a global leader in modern supply chain orchestration powering complex global supply chains and supporting the people who manage them. Our powerful AI infused platform provides full transparency and visibility across end-to-end supply chains enabling our customers to make faster better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate todays volatility and disruption. With more than 40000 users in over 100 countries we are expanding our team as we continue to innovate and revolutionize how we support our customers.
Location
Chennai India
About the role & team
We are seeking a Senior Data Engineer to help scale Kinaxis Migrations and Data Integrations capabilities. This is a hands-on engineering role focused on building migrating maintaining and supporting data assets and integrations that enable Kinaxis modernization journey.
You will help migrate pipelines transformations data models orchestration workflows observability/reporting dependencies and related components from legacy platforms such as Snowflake PostgreSQL SQL Server Airflow Grafana Informatica and related tools into the modern Kinaxis stack built on Databricks GCP dbt Power BI and cloud-native orchestration and observability tooling.
You will also build new application-to-application connectors in MuleSoft while maintaining troubleshooting enhancing and selectively migrating existing integrations currently implemented in Informatica.
This role is ideal for an engineer who enjoys practical modernization work: rebuilding legacy assets in modern technologies improving reliability and supportability and creating reusable patterns that accelerate platform transition at scale.
Key responsibilities
Migrations and delivery
- Build and migrate data pipelines transformations and models into the modern data platform using Databricks GCP dbt Power BI and related tooling.
- Refactor rebuild or migrate legacy data assets currently implemented in platforms such as Snowflake PostgreSQL SQL Server Airflow Grafana Informatica and similar systems.
- Develop reusable migration components templates validation checks and automation assets that improve speed consistency and quality across modernization initiatives.
- Support validation reconciliation issue triage testing and cutover-readiness activities for migrated assets.
- Contribute to runbooks technical documentation and delivery standards that make the Migration Factory repeatable and scalable.
Data Integrations engineering
- Build and maintain new application-to-application connectors in MuleSoft.
- Maintain troubleshoot and enhance existing integrations built in Informatica any Python ensuring reliability and operational supportability.
- Migrate or refactor selected legacy Informatica integrations into modern integration patterns and platforms where appropriate.
- Implement integration logic using APIs file-based interfaces orchestration workflows and batch or event-driven processing patterns.
- Develop validation monitoring reconciliation and error-handling mechanisms to ensure production-ready integrations.
Engineering and operational excellence
- Build and maintain robust scalable and efficient data pipelines for batch and streaming use cases.
- Implement data validation cleansing and error-handling mechanisms to maintain high data quality and reliability.
- Troubleshoot complex data engineering and integration issues with a focus on scalability performance and maintainability.
- Apply sound software engineering practices across coding testing CI/CD version control deployment and documentation.
- Stay up to date with technology trends and best practices relevant to modern data platforms and integration engineering.
Collaboration and team contribution
- Partner with cross-functional stakeholders to design and deliver data and integration solutions that meet business needs.
- Collaborate with peers in FinOps Data Architecture Data Governance Cloud Engineering and Observability to support end-to-end delivery.
- Play a leadership role in project execution and in solving complex technical problems.
- Help train and mentor junior engineers.
- Communicate clearly on technical approach delivery progress dependencies and risks.
Technologies we use
- Visual Studio JIRA Confluence Git
- Python for core development
- SQL and dbt for data modeling and transformation
- FiveTran and dltHub for data ingestion
- Databricks and Google Cloud Platform for the modern data platform
- Power BI for reporting and analytics enablement
- MuleSoft and Informatica for integration engineering
- PostgreSQL SQL Server Snowflake and BigQuery as data stores and legacy/current platforms
- Apache Airflow Power BI Dataflows and GitHub Actions for orchestration and automation
- Datadog for observability
- Terraform and Ansible for infrastructure and configuration automation
- Microsoft Azure and GCP in parts of the broader ecosystem
What we are looking for
- 5 years of experience in data engineering analytics engineering integration engineering migration engineering software engineering or related fields.
- Demonstrated expertise in both traditional and modern data systems with hands-on experience building scalable and reliable solutions.
- Strong hands-on experience with modern data platform technologies such as Databricks dbt GCP Snowflake PostgreSQL BigQuery Power BI and related tools.
- Hands-on experience building integrations in MuleSoft and supporting enhancing or modernizing legacy integrations in Informatica.
- Proficiency in software engineering principles including CI/CD pipelines version control RESTful APIs Python and SQL.
- Familiarity with orchestration and automation tooling such as Airflow GitHub Actions and related platforms.
- Familiarity with observability tooling such as Datadog.
- Experience with validation reconciliation monitoring and production support for data pipelines and integration services.
- Strong problem-solving abilities and an execution-oriented mindset.
- Strong communication and collaboration skills.
- Google Cloud Professional Data Engineer certification is a plus.
- Familiarity with Terraform and/or Ansible is a plus.
- Experience working for a SaaS company is a plus.
#Intermediate #LI-RJ1
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 day when 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 Lockheed Martin Unilever P&G ExxonMobil Cisco 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 a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and here are some of the perks and benefits we offer which may vary by location and employee:
- Flexible vacation and Kinaxis Days (company-wide days off)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs training and career development
- Recognition programs and referral rewards
- Hackathons
For more information visit the Kinaxis website at or 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 This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
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.
Required Experience:
Senior IC
Key Skills
About Company
Revolutionize supply chain management with Kinaxis. Get end-to-end transparency to make fast, collaborative decisions with the power of concurrency.
