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

* 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

Roles & Responsibilities

• Data Engineering Excellence: Design and implement data pipelines using formats like JSON, Parquet, CSV, and ORC, utilizing batch and streaming ingestion.
• Cloud Data Migration Leadership: Lead cloud migration projects, developing scalable Spark pipelines.
• Medallion Architecture: Implement Bronze, Silver, and gold tables for scalable data systems.
• Spark Code Optimization: Optimize Spark code to ensure efficient cloud migration.
• Data Modeling: Develop and maintain data models with strong governance practices.
• Data Cataloging & Quality: Implement cataloging strategies with Unity Catalog to maintain high-quality data.
• Delta Live Table Leadership: Lead the design and implementation of Delta Live Tables (DLT) pipelines for secure, tamper-resistant data management.
• Customer Collaboration: Collaborate with clients to optimize cloud migrations and ensure best practices in design and governance.

Educational Qualifications

• Experience: Minimum 5 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects.
• Education: Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field.
• Skills
• Must-have: Proficiency in Spark, SQL, Python, and other relevant data processing technologies. Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations. Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.

Good to Have

• Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).

Soft Skills

• Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.
• Certifications
• AWS/GCP/Azure Data Engineer Certification.

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

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.

Profile: AWS Data Engineer

Mode- Hybrid

Experience- 5+7 years

Locations - Bengaluru, Pune, Chennai, Mumbai, Gurugram

Roles and Responsibilities

• Design and maintain ETL pipelines using AWS Glue and Python/PySpark
• Optimize SQL queries for Redshift and Athena
• Develop Lambda functions for serverless data processing
• Configure AWS DMS for database migration and replication
• Implement infrastructure as code with CloudFormation
• Build optimized data models for performance
• Manage RDS databases and AWS service integrations
• Troubleshoot and improve data processing efficiency
• Gather requirements from business stakeholders
• Implement data quality checks and validation
• Document data pipelines and architecture
• Monitor workflows and implement alerting
• Keep current with AWS services and best practices

Required Technical Expertise:

• Python/PySpark for data processing
• AWS Glue for ETL operations
• Redshift and Athena for data querying
• AWS Lambda and serverless architecture
• AWS DMS and RDS management
• CloudFormation for infrastructure
• SQL optimization and performance tuning

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