Data Engineer

🚀 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

🚀 Hiring: Data Engineer ( Azure ) at Deqode

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

⭐ Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer ( Azure ) to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

✅ Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)

✅ Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing

✅ Develop Structured Streaming pipelines with watermarking, late data handling & restart safety

✅ Implement declarative pipelines using Lakeflow

✅ Design idempotent, replayable pipelines with safe backfills

✅ Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)

✅ Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications

✅ Package and deploy using Databricks Repos & Asset Bundles (CI/CD)

Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

👉 Databricks & Delta Lake (Advanced Optimization & Performance Tuning)

👉 Structured Streaming & Autoloader Implementation

👉 Databricks SQL (DBSQL) & Data Modeling for Analytics

* Python (3 to 6 years): Strong expertise in data workflows and automation

* Spark (PySpark): Hands-on experience with large-scale data processing

* Pandas: For detailed data analysis and validation

* Delta Lake: Managing structured and semi-structured datasets at scale

* SQL: Querying and performing operations on Delta tables

* Azure Cloud: Compute and storage services

* Orchestrator: Good experience with either ADF or Airflow

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location - Senior Backend Developer – Java (with Python Exposure)- Mumbai

Experience - 4 to 10 years

Kindly revert over mail if you are interested.

Java Developer – Job Description

We are seeking a Senior Backend Developer with strong expertise in Java (Spring Boot) and working knowledge of Python. In this role, Java will be your primary development language, with Python used for scripting, automation, or selected service modules. You’ll be part of a collaborative backend team building scalable and high-performance systems.

Key Responsibilities

• Design and develop robust backend services and APIs primarily using Java (Spring Boot)
• Contribute to Python-based components where needed for automation, scripting, or lightweight services
• Build, integrate, and optimize RESTful APIs and microservices
• Work with relational and NoSQL databases
• Write unit and integration tests (JUnit, PyTest)
• Collaborate closely with DevOps, QA, and product teams
• Participate in architecture reviews and design discussions
• Help maintain code quality, organization, and automation

Required Skills & Qualifications

• 4 to 10 years of hands-on Java development experience
• Strong experience with Spring Boot, JPA/Hibernate, and REST APIs
• At least 1–2 years of hands-on experience with Python (e.g., for scripting, automation, or small services)
• Familiarity with Python frameworks like Flask or FastAPI is a plus
• Experience with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB)
• Good understanding of OOP, design patterns, and software engineering best practices
• Familiarity with Docker, Git, and CI/CD pipelines

About Corridor Platforms

Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.

Role Overview

As a Backend Engineer at Corridor Platforms, you will:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers – such as SQLAlchemy – and multi RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Technical Skills

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark
• Databases: PostgreSQL, Oracle, SQL Server, Redis
• Tools: pytest, Docker, Git, Nx
• Cloud: Experience with AWS, Azure, or GCP preferred
• Monitoring: Familiarity with OpenTelemetry and logging frameworks

Why Join Us?

• Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
• End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
• Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
• Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.

What We’re Looking For

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows,  and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Ready to build backends that shape the future of decision intelligence and responsible AI?

Apply now and become part of the innovation at Corridor Platforms!

Job title - Python developer

Exp – 4 to 6 years

Location – Pune/Mum/B’lore

PFB JD

Requirements:

• Proven experience as a Python Developer
• Strong knowledge of core Python and Pyspark concepts
• Experience with web frameworks such as Django or Flask
• Good exposure to any cloud platform (GCP Preferred)
• CI/CD exposure required
• Solid understanding of RESTful APIs and how to build them
• Experience working with databases like Oracle DB and MySQL
• Ability to write efficient SQL queries and optimize database performance
• Strong problem-solving skills and attention to detail
• Strong SQL programing (stored procedure, functions)
• Excellent communication and interpersonal skill

Roles and Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using pyspark
• Work closely with data scientists and analysts to provide them with clean, structured data.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams to gather data requirements.
• Ensure data quality and integrity through data validation and cleansing processes.
• Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
• Stay up to date with industry best practices and emerging technologies in data engineering.

Key Responsibilities

• Develop and maintain Python-based applications.
• Design and optimize SQL queries and databases.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write clean, maintainable, and efficient code.
• Troubleshoot and debug applications.
• Participate in code reviews and contribute to team knowledge sharing.

Qualifications and Required Skills

• Strong proficiency in Python programming.
• Experience with SQL and database management.
• Experience with web frameworks such as Django or Flask.
• Knowledge of front-end technologies like HTML, CSS, and JavaScript.
• Familiarity with version control systems like Git.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.

Good to Have Skills

• Experience with cloud platforms like AWS or Azure.
• Knowledge of containerization technologies like Docker.
• Familiarity with continuous integration and continuous deployment (CI/CD) pipelines

·      The Objective:

You will play a crucial role in designing, implementing, and maintaining our data infrastructure, run tests and update the systems

·      Job function and requirements

o  Expert in Python, Pandas and Numpy with knowledge of Python web Framework such as Django and Flask.

o  Able to integrate multiple data sources and databases into one system.

o  Basic understanding of frontend technologies like HTML, CSS, JavaScript.

o  Able to build data pipelines.

o  Strong unit test and debugging skills.

o  Understanding of fundamental design principles behind a scalable application

o  Good understanding of RDBMS databases among Mysql or Postgresql.

o  Able to analyze and transform raw data.

·      About us

Mitibase helps companies find warm prospects every month that are most relevant, and then helps their team to act on those with automation. We do so by automatically tracking key accounts and contacts for job changes and relationships triggers and surfaces them as warm leads in your sales pipeline.

EXP-Developer-4 to 12 years

         Must have low-level design and development skills.  Should able to design a solution for given use cases. 

• Agile delivery-  Person must able to show design and code on a daily basis
• Must be an experienced PySpark developer and  Scala coding.   Primary skill is PySpark
• Must have experience in designing job orchestration, sequence, metadata design, Audit trail, dynamic parameter passing and error/exception handling
• Good experience with unit, integration and UAT support
• Able to design and code reusable components and functions
• Should able to review design, code & provide review comments with justification
• Zeal to learn new tool/technologies and adoption
• Good to have experience with Devops and CICD