Senior Python Engineer – Data

🔥 3 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Smart Working

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.

📋 Description

• Design, build and maintain reliable data pipelines in Python on AWS • Build and maintain backend services and APIs using Django and FastAPI • Model, query and optimise data across PostgreSQL and search/NoSQL databases, including OpenSearch, Elasticsearch and DynamoDB • Deploy and run services on Kubernetes, working alongside the DevOps engineer • Own assigned work end-to-end, including design, testing, code reviews, releases and production support • Work independently while collaborating with the engineering team and DevOps/SRE engineer on infrastructure and releases • Maintain high standards of data quality, correctness and testing • Follow engineering practices including code reviews and CI/CD while adapting to changing priorities • Identify problems proactively, propose solutions and challenge technical decisions when necessary • Prioritise thoroughness, reliability and production stability

🎯 Requirements

• 6+ years of experience in software engineering, including 5+ years of commercial Python development • 5+ years of Python backend development experience • 3+ years of experience in data pipelines and data engineering, including ETL/ELT processes and batch processing • Experience with Airflow, Dagster, Prefect, AWS Glue and Step Functions • 3+ years of AWS experience developing and maintaining cloud-based backend services and data pipelines • Strong GCP or Azure experience may be considered on a case-by-case basis • 3+ years of experience with Python web frameworks, particularly Django or FastAPI; Flask is an acceptable alternative • 3+ years of PostgreSQL experience, including data modelling, querying and optimisation • MySQL or SQL Server experience may be considered where strong SQL expertise is demonstrated elsewhere • 2+ years of experience with non-relational or search databases, such as Elasticsearch, OpenSearch or DynamoDB • Relevant alternatives include MongoDB, Redis and Cassandra • 2+ years of Kubernetes experience, including deploying and running services • Docker combined with ECS or EKS exposure may be considered as an alternative • Ability to independently own technical tasks from design through implementation, testing, release and production support • Strong attention to data quality, correctness, testing and production reliability • Ability to collaborate with engineering and infrastructure teams while independently proposing solutions and challenging decisions where appropriate • Ability to follow engineering practices and adapt to changing priorities • Nice to have: 1+ year of experience with workflow orchestration, using Airflow or similar technologies • Nice to have: 1+ year of experience with streaming or event-processing technologies, such as Kafka, Kinesis or SQS • Nice to have: 1+ year of experience with Infrastructure as Code and CI/CD, including Terraform and GitHub Actions • Previous experience leading a technical project or taking complete end-to-end ownership of a data pipeline or backend service

🏖️ Benefits

• Full-time, long-term role • Truly remote-first work arrangement • Genuine community focused on growth and well-being • Opportunity to work with global teams and products • Personal and professional growth support • Long-term, ongoing opportunity (subject to confirmation)