Data Engineer (Pyspark Developer)

🚀 Hiring: Data Engineer | GCP + Spark + Python + .NET |

| 6–10 Yrs | Gurugram (Hybrid)

We’re looking for a skilled Data Engineer with strong hands-on experience in GCP, Spark-Scala, Python, and .NET.

📍 Location: Suncity, Sector 54, Gurugram (Hybrid – 3 days onsite)

💼 Experience: 6–10 Years

⏱️ Notice Period :- Immediate Joiner

Required Skills:

• 5+ years of experience in distributed computing (Spark) and software development.
• 3+ years of experience in Spark-Scala
• 5+ years of experience in Data Engineering.
• 5+ years of experience in Python.
• Fluency in working with databases (preferably Postgres).
• Have a sound understanding of object-oriented programming and development principles.
• Experience working in an Agile Scrum or Kanban development environment.
• Experience working with version control software (preferably Git).
• Experience with CI/CD pipelines.
• Experience with automated testing, including integration/delta, Load, and Performance

Job Overview:

We are seeking an experienced Senior Python Developer to join our dynamic team. The ideal candidate will have a strong background in Python development, with a focus on API development, integration, and experience in the deployment of machine learning pipelines. This is a crucial role in designing, implementing, and maintaining scalable and compliant Generative AI applications.

Must have:

• Expertise in programming languages - Python (primary), JavaScript, SQL, NodeJS
• Expertise in configuring and designing SQL and NoSQL databases (eg. Mongo)
• Expertise in API integration and APP serving frameworks (Flask, Django, FAST API)
• Experience in Schema definitions, parsing payload types (XSD/XML, JSON, Byte/Binary Encoded images,), etc.,
• Experience in User Authentication and Authorization frameworks and Active Directory Integration (SAML, OAuth, etc.,)
• Exposure to Large Language Models (LLMs) and Generative AI application development is a must.
• Experience working on Azure AI/ML stack is required.
• Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker).
• Solid understanding of software development best practices, including version control, code reviews, and testing.
• Lead code reviews, mentor junior developers, and provide technical guidance to the team.
• Strong communication and collaboration skills.
• Ability to work independently and lead technical initiatives.
• Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.

Good to have:

• Previous experience with healthcare-related projects or HIPAA compliance is a plus.
• Experience with Django or Flask frameworks for web development.
• Knowledge of front-end technologies (HTML, CSS, JavaScript).

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 6-8 years of proven experience as a Python Developer, with a strong focus on backend development.

Hello ,

Greetings from Talentika !!

we are having a job vacancy for Java Developer Along with the Skills

Java, Microservices, Kubernetes, AWS/Azure, devops background .

Best Regards,

Priya.

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Scala analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Scala ecosystem.

• Identify bad code practices in Scala and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false-positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in Scala and Java.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Scala best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.