Software Engineer Consultant

Objectives of this role

• Develop, test and maintain high-quality software using Python programming language.
• Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions.
• Collaborate with cross-functional teams to identify and solve complex problems.
• Write clean and reusable code that can be easily maintained and scaled.

Your tasks

• Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms.
• Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions.
• Debugging codes when required and troubleshooting any Python-related queries.
• Keep up to date with emerging trends and technologies in Python development. 

Required skills and qualifications

• 3+ years of experience as a Python Developer with a strong portfolio of projects.
• Hands on exp in angular 12+v
• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
• Experience with front-end development using HTML, CSS, and JavaScript.
• Familiarity with database technologies such as SQL and NoSQL.
• Excellent problem-solving ability with solid communication and collaboration skills.

Preferred skills and qualifications

• Experience with popular Python frameworks such as Django, Flask or Pyramid.
• Knowledge of Angular
• A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
• Contributions to open-source Python projects or active involvement in the Python community.

JOB DESCRIPTION

Data Engineer

Experience: 4–6 years

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows.
• Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1–2 years).
• Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy.
• Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance.
• Apply data warehousing concepts including dimensional modelling, star schema, data vault modelling, Kimball and Inmon methodologies, and data lake design.
• Develop and maintain ETL/ELT pipelines using open-source frameworks such as Apache Spark and Apache Airflow.
• Integrate and process data streams from message queues and streaming platforms (Kafka, RabbitMQ).
• Collaborate with cross-functional teams in a geographically distributed setup.
• Leverage Jupyter notebooks for data exploration, analysis, and visualization.

Required Skills

• 4+ years of experience in data engineering or a related field.
• Strong programming skills in Python with experience in Pandas, NumPy, Flask.
• Hands-on experience with pipeline monitoring and CI/CD workflows.
• Proficiency in SQL and relational databases.
• Familiarity with Git for version control.
• Strong communication and collaboration skills with ability to work independently.

1. Must have Experience in React, Nodejs.
2. Experience with the CI Systems.
3. Experience with any of the Cloud Platforms Such as GCP,AWS.
4. Experience with Continuous Integration environments.
5. Experience in end-to-end testing frameworkS Like Puppeteer / Cypress / Protractor/ Other selenium testing framework.
6. Experience with JavaScript Unit Testing Frameworks Like Jest/Mocha.
7. Experience in TypeScript.

What you need to have: