ApplySarthiEngineer III - Data Engineer
Anaplan
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8,889 open data roles across 885 companies are on ApplySarthi right now, most of them in Bengaluru (542), Hyderabad (312), Mumbai (168).
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What data roles keep asking for: Python (38%), SQL (34%), AWS (30%), Machine learning (18%), Spark (15%), Databricks (14%), Azure (13%), Agile (13%) — counted across their open postings here.
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Preparing for this interview
Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Anaplan.
Questions you are likely to be asked
- Why do you want to join Anaplan?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Engineer III - Data Engineer at Anaplan interview free →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!
- Data Pipeline & Orchestration: Design, build, and run batch and scheduled data pipelines (Airflow, Dagster, Prefect) and lead orchestrator upgrades.
- Data Ingestion & Scraping: Own and extend data collectors and engines, including web/API ingestion, large-scale web scraping (Playwright, Selenium, Scrapy), parsing, normalization, and file merging.
- Distributed Processing: Build scalable distributed processing architectures (Spark on EMR, Databricks, Dataproc) and analytical query layers (Athena, Snowflake, BigQuery), including cross-cloud ingestion pipelines.
- Caching & Entity Matching: Improve entity matching and caching services (Redis, MemoryDB, DynamoDB) to optimize accuracy, latency, and operational cost.
- Data Access & APIs: Develop and maintain high-performance Python dataaccess layers and APIs for downstream ML and product teams.
- Data Quality & Observability: Own data quality initiatives, including validation frameworks, retention policies, backfills, monitoring, and OpenTelemetry-based observability.
- Cross-Functional Collaboration: Partner with data science, forecasting, and platform teams to ship features safely behind feature flags (LaunchDarkly, Unleash).
- Engineering Leadership: Raise engineering standards across the team through rigorous code reviews, technical design documents, and mentoring.
- Experience: 6+ years of software or data engineering experience, including 3+ years of experience building and maintaining production data pipelines.
- Python Mastery: Strong Python development skills with a commitment to writing clean, tested code (using pytest, nox, or tox).
- Orchestration Expertise: Deep experience with workflow orchestration (Airflow DAG design, operators, scheduling, and failure handling) or modern alternatives like Dagster and Prefect.
- Data Ecosystems: Hands-on experience with distributed compute (Spark) and cloud data ecosystems (AWS EMR/Athena/S3, Databricks, Snowflake, GCP).
- Storage & Modeling: Solid SQL and data-modeling skills, alongside practical experience with NoSQL databases, caching layers, and message queues (MongoDB, Redis, Kafka, RabbitMQ).
- Infrastructure Familiarity: Comfort deploying and managing containerized workloads on Kubernetes using Docker and Helm.
- Production Ownership: A proven track record of owning production pipelines, including participating in on-call rotations, incident response, and root-cause analysis.
- Communication: Clear written technical communication and a history of documenting architectural decisions.
- Scraping Infrastructure: Experience managing large-scale web datacollection and distributed crawler infrastructure.
- Data Science / ML Concepts: Familiarity with record linkage, entity resolution, fuzzy matching, and NLP preprocessing (spaCy, NLTK).
- Multi-Cloud Pipelines: Hands-on experience building multi-cloud datapipelines (e.g., bridging GCP/BigQuery and AWS).
- ML Ops: Experience designing data pipelines that directly feed machine learning or forecasting systems.
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 interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Privacy & AI Notice
Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.
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Listed on greenhouse · posted 2026-10-29. ApplySarthi collects openings and links to application pages; the role is advertised by Anaplan, not by us.