CloudThat

Python Developer

Posted 2 Days Ago

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2 Locations

In-Office

Entry level

Cloud

The Role

Develop and maintain scalable Python-based data pipelines, ETL processes, workflow automations, and dataset integrations. Ensure data quality, validation, performance, and integrity while deploying and monitoring production workflows. Collaborate with data engineers, analysts, stakeholders, and machine learning teams to provide reliable, production-ready data solutions. Work with databases, cloud data services, orchestration tools, APIs, and CI/CD practices.

Summary Generated by Built In

Job Summary:

We are looking for a Python Developer with strong data engineering and data handling skills. The ideal candidate will work on building scalable data pipelines, automating workflows, integrating datasets, and supporting analytics and ML teams with clean, reliable data solutions.

Key Responsibilities:

Develop, optimize, and maintain data pipelines using Python.
Work with large datasets and ensure efficient extraction, transformation, and loading (ETL).
Integrate data from various internal and external sources.
Build reusable Python modules and automation scripts.
Work closely with data engineers, analysts, and stakeholders to understand requirements.
Optimize performance of data processes and troubleshoot issues.
Ensure data quality, validation, and integrity across systems.
Deploy and monitor data workflows in production environments.

Technical Skills Required:

Strong hands-on experience in Python (Pandas, NumPy, PySpark preferred).
Experience with ETL development and building data pipelines.
Good understanding of SQL, complex queries, and stored procedures.
Experience with databases (PostgreSQL, MySQL, MongoDB, or similar).
Exposure to big data frameworks (Spark/Hadoop) is a strong advantage.
Experience with cloud platforms (AWS/Azure/GCP) for data services.
Familiarity with API integrations, automation, and scheduling tools (Airflow, Cron).
Knowledge of version control (Git) and CI/CD practices.

Preferred Qualifications:

Advanced experience with Python libraries used in data workflows (Pandas, NumPy, PySpark, FastAPI/Flask for data services).
Hands-on experience with data warehousing concepts and building scalable data models.
Practical understanding of ML model pipelines and supporting data science teams with clean, production-ready datasets.
Experience working with workflow orchestration tools (Airflow, Prefect, Luigi).
Familiarity with containerization and deployment (Docker/Kubernetes) for data applications.
Strong understanding of cloud-based data services (AWS Glue, Redshift, Azure Data Factory, BigQuery).
Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Skills Required

Strong hands-on experience with Python, including Pandas, NumPy, or PySpark
Experience developing ETL processes and data pipelines
Understanding of SQL, complex queries, and stored procedures
Experience with databases such as PostgreSQL, MySQL, MongoDB, or similar
Experience with cloud platforms such as AWS, Azure, or GCP for data services
Familiarity with API integrations, automation, and scheduling tools such as Airflow or Cron
Knowledge of Git and CI/CD practices
Exposure to big data frameworks such as Spark or Hadoop
Advanced experience with Python data workflow libraries, including Pandas, NumPy, PySpark, FastAPI, or Flask
Experience with data warehousing concepts and scalable data models
Understanding of machine learning model pipelines and production-ready datasets
Experience with workflow orchestration tools such as Airflow, Prefect, or Luigi
Familiarity with Docker or Kubernetes for data application deployment
Strong understanding of cloud-based data services such as AWS Glue, Redshift, Azure Data Factory, or BigQuery
Bachelor’s degree in Computer Science, Engineering, or a related technical field

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The Company

HQ: Tampa, FL

375 Employees

Year Founded: 2012

What We Do

CloudThat is the first company in India to offer Cloud Training & Cloud Consultancy services for mid-market & enterprise clients from across the globe. Founded by Bhavesh Goswami, an ex-Amazonian with more than 17 years of experience in the Cloud Computing space, CloudThat has been empowering tech professionals with the best cloud training and cloud consulting services. Our journey in the Cloud space has won us many accolades, such as the prestigious Finalist of Microsoft Learning Partner of the Year Awards 2022 and 2020. CloudThat is also a proud AWS Advanced Consulting Partner, VMware Authorized Training Reseller, Google Cloud Platform Partner, Microsoft Gold Partner and Databricks Partner. Since our inception in 2012, we have trained over 500K IT professionals from fortune 500 companies in different types of cloud computing technologies such as Microsoft Azure, Amazon Web Services, Artificial Intelligence, Machine Learning, Google Cloud Platform, IoT, OpenStack, and OpenShift, DevOps, MongoDB, Big Data and more. We have also delivered over 200 AWS consulting services to top companies in need of cloud solutions. We have a global presence with offices in Bengaluru (India), the UK, and the USA. Our on-site and pre-scheduled public batches are available in different IT-centric cities in India and Overseas.