Python Developer

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Mandatory (Experience 1) - Must have a minimum 4+ years of experience in backend software development.

Mandatory (Experience 2) -Must have 4+ years of experience in backend development using Python (Highly preferred), Java, or Node.js.

Mandatory (Experience 3) - Must have experience with Cloud platforms like AWS (highly preferred), gcp or azure

Mandatory (Experience 4) - Must have Experience in any databases - MySQL / PostgreSQL / Postgres / Oracle / SQL Server / DB2 / SQL / MongoDB / Ne

We are seeking a skilled Java Developer with hands-on experience in Java and Spark to build scalable data processing solutions. You'll contribute to high-performance data pipelines and analytics platforms in a dynamic Agile environment.

Key Responsibilities

• Design and develop Java applications integrated with Apache Spark for ETL processes, data transformations, and analytics.
• Build and optimize Spark jobs (Spark SQL, DataFrames, Streaming) for large-scale data processing.
• Collaborate with data engineers and analysts to implement robust data workflows.
• Write clean, maintainable Java code following best practices (Spring Boot, Microservices preferred).
• Perform code reviews, unit testing, and contribute to CI/CD pipelines.
• Troubleshoot and optimize Spark performance for production workloads.
• Document technical solutions and mentor junior developers.

Required Skills & Qualifications

• 4-7 years of hands-on Java development experience.
• Strong expertise in Apache Spark (Spark Core, Spark SQL, PySpark basics).
• Proficiency in Java 8/11+ with multithreading and collections frameworks.
• Experience with data processing (ETL, data pipelines, big data).
• Familiarity with build tools (Maven/Gradle) and version control (Git).
• Strong problem-solving skills and Bangalore location availability.
• Excellent communication skills for cross-team collaboration.

Good to Have

• Experience with Snowflake for cloud data warehousing.
• Knowledge of DBT (Data Build Tool) for analytics engineering.
• Python scripting for data manipulation and automation.
• Exposure to AWS/GCP/Azure cloud platforms.
• Familiarity with Kafka, Airflow, or containerization (Docker/Kubernetes).

bout the Role

We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!

Key Responsibilities

•   Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.

•   Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.

•   Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.

•   Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.

•   Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.

Required Skills

•   Technical Skills:

o   Proficiency in Python, including experience with key AI/ML libraries.

o   Basic knowledge of UI and API development.

o   Understanding of large language models (LLMs) and experience using them effectively.

•   Analytical & Communication Skills:

o   Strong problem-solving skills to address complex, ambiguous challenges.

o   Ability to translate data insights into understandable reports for non-technical stakeholders.

o   Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.

o   Experience in statistical methods to interpret data and build metrics frameworks.

o   Skilled in quantitative analysis to drive actionable insights.

We are looking for a Backend developer who is passionate about building end to end applications. 

What you will be doing: 

• Designing and developing scalable applications and takes care of test and deployment as well. 
• Managing individual project priorities, deadlines, and deliverables. 
• Architect and implement software libraries in a multi-cloud environment 
• Design and build a flexible logging, monitoring, and alerting infrastructure 
• Build scalable APIs using python and is familiar with the latest developments in the language 

Skills Required: 

• Expert in Python 3 
• Detailed knowledge of Python web framework Django or Flask (2 to 3 years) 
• Familiarity with some ORM (Object Relational Mapper) libraries, 
• Knowledge of Django REST framework and its concepts like Serializers, Viewsets, Filters, Mixins. 
• Experience with relational databases like PostgreSQL, MySQL 
• Experience with Python libraries like Pandas, Numpy. 
• Experience with databases NoSQL databases like MongoDB, Cassandra, DynamoDB is a big plus 
• Experience with technologies like Celery, Gunicorn, Redis. 
• Knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, complexity analysis, databases, networking, and distributed systems. 
• Experience with working on Linux system, GIT, CI/CD pipelines. 
• Experience in designing scalable architectures to support a data-intensive application. 
• Experience of working with AWS services like EC2, S3, RDS, lambda etc. 
• Previous work experience at a product-based company or startup would be a bonus. 
• Prior experience working in IoT domain or energy sector will be plus. 

Personality traits we really admire: 

• Great attitude to ask questions, learn, and suggest process improvements. 
• Attention to detail and helps identify edge cases. 
• Equal importance to planning, coding, code reviews, documentation, and testing. 
• Highly motivated and coming up with fresh ideas and perspectives to help us move towards our goals faster. 
• Adheres to release cycles and absolute commitment to deadlines. 

Looking Data Enginner for our OWn organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.