Software Engineer - Operational Data Lake
AnaplanGurugram, IndiaPosted 9 March 2026
Job Description
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating
our wins – big and small.
Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
ODL Software Engineer
About the Role
We are looking for a curious and team-focused ODL Software Engineer to join our dynamic engineering team. In this role, you will be responsible for building and maintaining the data pipelines, services, and infrastructure that power our analytics and business intelligence platforms. This position is ideal for an engineer who is passionate about data, accountable for their work, and driven to create robust, scalable solutions.
Key Responsibilities
Design, develop, and maintain efficient and reliable ELT pipelines.
Build and support scalable REST services using Python.
Implement and manage CI/CD pipelines to automate testing and deployment processes.
Utilize Terraform to manage and provision infrastructure as code.
Develop comprehensive tests (Test Development) to ensure data quality and system reliability.
Collaborate with data scientists and analysts on projects using SQL, Jupyter Notebooks, and Pandas.
Contribute to the development and maintenance of BI Dashboarding solutions.
Work within a team-focused environment, demonstrating curiosity and a data-driven mindset.
Required Qualifications
2+ years of experience in a software or data engineering role.
Solid programming skills in Python.
Experience building or consuming REST services.
Hands-on experience with a distributed data processing framework like Spark/Databricks.
Familiarity with CI/CD principles and tools.
Basic understanding of data science tools and techniques (SQL, Jupyter Notebooks, Pandas).
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
Experience with Cloud platforms (AWS, GCP, Azure).
Knowledge of containerization technologies like Docker and Kubernetes (K8s).
Familiarity with observability tools for monitoring and logging.
Experience with Infrastructure as Code, particularly Terraform.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or inte ... (truncated, view full listing at source)
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