Senior Python Engineer – Data

🔥 10 minutes ago

🇵🇰 Pakistan – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 16%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 98 days.
• No salary listed.

Apply Now

Find Similar Remote Jobs

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 • Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support • Collaborate with the engineering team and DevOps/SRE engineer on infrastructure and releases • Maintain high standards of data quality, correctness and testing while understanding how data pipelines contribute to the wider product • Follow established engineering practices, including code reviews and CI/CD, while adapting to changing priorities • Proactively identify problems, propose solutions and challenge technical decisions when necessary • Prioritise thoroughness, reliability and production stability when developing and maintaining data pipelines and data stores

🎯 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, or equivalent technologies • 3+ years of AWS experience developing and maintaining cloud-based backend services and data pipelines • 3+ years of experience with Python web frameworks, particularly Django or FastAPI; Flask acceptable • 3+ years of PostgreSQL experience, including data modelling, querying and optimisation • 2+ years of experience with non-relational or search databases, such as Elasticsearch, OpenSearch or DynamoDB; MongoDB, Redis and Cassandra alternatives • 2+ years of Kubernetes experience, including deploying and running services; Docker with ECS or EKS may be considered • 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 • Ability to follow engineering practices and adapt to changing priorities

🏖️ Benefits

• Full-time, long-term role • Fully remote work • Genuine community focused on growth and well-being • Remote-first work environment • Opportunities for personal and professional growth

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume