Python developer at Wissen Technology · Pune, Mumbai, Bengaluru (Bangalore) · 4 - 8 years · ₹14L - ₹26L / yr · Profitable · Posted 8 Jul 2025

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.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
Similar jobs (10)
Data Engineer Hiring Post
🚨 Hiring: Data Engineer | PySpark + Python + SQL
We are looking for experienced Data Engineers to join our team!
🔹 Experience: 5 to 9 Years
🔹 Locations: Bangalore / Hyderabad
🔹 Interview Process:
• 1st Round – Virtual
• 2nd Round – Face-to-Face (Karat Test)
🔑 Key Skills:
✅ PySpark
✅ SQL
✅ Python
✅ ETL
📩 Interested candidates can share their updated resume.
#Hiring #DataEngineer #PySpark #Python #SQL #ETL #BangaloreJobs #HyderabadJobs #TechHiring #ImmediateHiring
Data Engineer Short Hiring Post
🚨 Hiring: Data Engineer
🔹 Experience: 5–9 Years
🔹 Location: Bangalore / Hyderabad
🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling
🔹 Process: L1 Virtual → L2 F2F Karat Test
🔹 F2F: Bangalore / Hyderabad Location
🔹 Positions: Immediate requirement
⚠️ Note: Candidates must be available for F2F Karat immediately after L1.
#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners
We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.
Key Responsibilities
- Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
- Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
- Build and maintain RESTful APIs using Flask or Django.
- Develop robust Python applications for data engineering and backend services.
- Process and analyze large-scale datasets using Big Data technologies.
- Optimize Spark jobs for performance, scalability, and reliability.
- Integrate APIs with internal and external systems.
- Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
- Troubleshoot production issues and implement performance improvements.
- Follow coding standards, version control, and CI/CD best practices.
Mandatory Skills
- Strong proficiency in Python programming.
- Hands-on experience with PySpark and Apache Spark.
- Strong SQL coding skills.
- Experience with PL/SQL development.
- Experience in Big Data ecosystem.
- REST API development using Flask or Django.
- Experience in developing and consuming Python APIs.
- Knowledge of data processing, ETL, and distributed computing.
- Experience with Git/version control.
Preferred Skills
- Experience with Hadoop ecosystem (Hive, HDFS, YARN).
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Airflow or other workflow orchestration tools.
- Experience with Docker and Kubernetes.
- Familiarity with Kafka or other streaming technologies.
- Understanding of CI/CD pipelines.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).
Required Experience
- Strong hands-on experience in Python, PySpark, and Apache Spark.
- Extensive experience writing optimized SQL and PL/SQL code.
- Experience developing REST APIs using Flask or Django.
- Experience working with large-scale data processing and ETL pipelines.
- Strong analytical, debugging, and problem-solving skills.
Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.
Design, develop, and maintain ETL pipelines involving large-scale data.
Develop data processing and analytics applications primarily using PySpark and Python.
Build scalable and distributed data processing solutions using Apache Spark.
Develop and deploy data applications on AWS cloud.
Work with AWS services related to storage, compute, ETL, data warehousing, analytics, and streaming.
Implement distributed storage and processing solutions capable of handling high-volume datasets.
Design data processing applications with a focus on performance, scalability, reliability, and optimization.
Work with both SQL and NoSQL databases for data storage, processing, and analytics.
Write, optimize, and analyze SQL, HQL, and NoSQL queries.
Troubleshoot data pipeline and processing issues and ensure data quality and reliability.
Collaborate with data engineers, analysts, architects, and other technical teams to deliver data-driven solutions.
Skills Referential (Required knowledge, skills and abilities)
Technical Skills:
Python
Pyspark
SQL
ETL Aws, Azure, gcp
Job Summary
We are looking for a skilled and experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Python, PySpark, Data Modeling, and Power BI, with hands-on experience in designing, developing, and optimizing scalable data solutions. The role requires working closely with business stakeholders, data architects, and analytics teams to build robust data pipelines and semantic models that enable data-driven decision-making.
Technical Skills
- Strong hands-on experience in Python and PySpark development.
- Expertise in building and optimizing Data Engineering solutions and ETL pipelines.
- Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
- Experience with Power BI Data Modeling and Semantic Layer development.
- Proficiency in DAX (Data Analysis Expressions).
- Experience designing and managing Semantic Models in Power BI.
- Strong SQL skills and experience working with large datasets.
- Knowledge of data warehousing concepts and best practices.
Preferred Skills
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Exposure to modern data platforms like Databricks.
- Understanding of data governance and data quality frameworks.
Job Summary
We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.
Key Responsibilities
- Design, develop, test, and maintain Python-based applications.
- Develop RESTful APIs using Flask and/or Django.
- Build scalable data processing pipelines using PySpark.
- Write efficient SQL queries, stored procedures, and optimize database performance.
- Integrate applications with databases and third-party services.
- Collaborate with cross-functional teams to gather and implement business requirements.
- Troubleshoot, debug, and enhance application performance.
- Follow coding standards, perform code reviews, and maintain technical documentation.
Required Skills
- Strong proficiency in Python.
- Hands-on experience with Flask and/or Django.
- Experience with PySpark for large-scale data processing.
- Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
- Understanding of REST APIs and microservices architecture.
- Experience with Git/version control.
- Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Good problem-solving and analytical skills.
Preferred Skills
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with Docker and Kubernetes.
- Knowledge of CI/CD pipelines.
- Experience with Airflow or other workflow orchestration tools.
- Understanding of Agile/Scrum methodologies.
Job Title: Data Engineer – PySpark | Oracle | GCP
Experience: 5–7 Years
Location: Hyderabad
Notice Period: Immediate Joiners Preferred
Job Summary
We are seeking an experienced Data Engineer with strong expertise in PySpark, Oracle, and Google Cloud Platform (GCP) to design, develop, and optimize scalable data pipelines. The ideal candidate should have hands-on experience in ETL development, data integration, and cloud-based data engineering solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/data pipelines using PySpark.
- Extract, transform, and load data from Oracle databases into GCP environments.
- Build and optimize batch data processing workflows for high performance and reliability.
- Develop data engineering solutions using GCP services.
- Ensure data quality through validation, monitoring, and troubleshooting.
- Optimize SQL queries and ETL jobs for performance and scalability.
Required Skills
- 5–7 years of experience as a Data Engineer.
- Strong hands-on experience with PySpark.
- Solid experience with Oracle Database and advanced SQL.
- Hands-on experience with Google Cloud Platform (GCP).
- Strong understanding of ETL processes and data warehousing concepts.
Work Location: Hyderabad
Notice Period: Immediate Joiners Preferred
Description
We are looking for Senior Data Engineers to join our Data Platform team and build scalable, high-performance data platforms that power data processing, analytics, and downstream applications.
The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Apache Spark and Python Scala.
You will be responsible for designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL and data processing pipelines for large-scale datasets.
- Build and optimize distributed data applications using Apache Spark and Python Scala.
- Develop reliable, high-performance data pipelines for batch and streaming workloads.
- Design and manage data workflows using Apache Airflow.
- Build and operate data workloads on AWS, with strong usage of Amazon S3 for large-scale data storage.
- Work with large datasets to ensure data quality, consistency, reliability, and performance.
- Collaborate with engineering, product, analytics, and other platform teams to deliver robust data solutions.
- Optimize data workflows for scalability, reliability, performance, and cost efficiency.
- Troubleshoot production issues, identify bottlenecks, and continuously improve platform performance.
Requirements
Candidates who demonstrate:
- 5+ years of experience in Data Engineering, Big Data Engineering, or a similar role.
- Strong hands-on experience with Apache Spark and Scala.
- Experience designing, building, and maintaining large-scale ETL pipelines.
- Strong hands-on experience with AWS, particularly Amazon S3.
- Hands-on experience with Apache Airflow for workflow orchestration and scheduling.
- Strong SQL skills and a solid understanding of distributed data processing concepts.
- Experience working with batch and/or streaming data pipelines.
- Excellent debugging, problem-solving, and performance optimization skills.
- Strong communication and collaboration skills.
Good to Have
- Experience with Databricks and the broader Databricks data platform.
- Familiarity with streaming technologies such as Apache Kafka.
- Experience working on large-scale data platforms handling high-volume data workloads.
- Exposure to additional AWS data services and cloud-native data architectures.
About the Role
We are looking for a Senior Data Engineer with strong hands-on expertise in Databricks, Python, PySpark, and SQL to build scalable, high-performance data engineering solutions. You’ll architect and develop large scale, high-performance data pipelines capable of handling massive real-time and batch data volumes across multiple business systems. Databricks is the core enterprise data and processing platform for this role. You will also use Apache Airflow for workflow orchestration and dbt for ELT transformations, and will contribute to designing reliable, secure, and governed data platforms that enable analytics, reporting, and AI-driven use cases.
Key Responsibilities
- Design and implement large-scale data pipelines using Python/PySpark, Databricks, and Microsoft Fabric.
- Develop and optimize data processing workloads in Databricks using PySpark and Spark SQL, with a strong focus on scalability, reliability, performance, and maintainability.
- Develop and maintain dbt models including layered architecture, incremental models, snapshots, macros, testing, and documentation.
- Design, develop, and maintain Apache Airflow DAGs for orchestrating reliable, scalable, and observable data pipelines.
- Design and implement data quality, observability, and governance frameworks, including automated testing, monitoring, lineage, access control, and data privacy standards.
- Partner with analytics, product, and business stakeholders to turn requirements into trustworthy datasets, and raise the engineering bar through design discussions, code reviews, and mentoring junior engineers.
Required Skills
- Strong expertise in Python for developing scalable, modular, and production-ready data engineering applications.
- Strong expertise in PySpark, including DataFrame API, Spark SQL, Structured Streaming, partitioning strategies, joins, caching, handling data skew, and Spark performance optimization.
- Strong hands-on experience with Databricks for data ingestion, transformation, processing, and optimization, including Delta Lake, Unity Catalog, Databricks Workflows, notebooks, jobs, and Databricks-native data engineering capabilities.
- Strong experience in Databricks/Spark performance tuning, including query and job optimization, partitioning, file sizing, caching, join optimization, handling data skew, and efficient use of compute resources.
- Hands-on experience with Delta Lake, including transactional data processing, schema management, incremental data processing, and reliable batch and streaming data pipelines.
- Hands-on experience in developing dbt projects using layered architecture, incremental models, snapshots, macros/Jinja, testing, documentation, and deployment best practices.
- Expertise in advanced SQL and data modelling — dimensional modeling, slowly changing dimensions, schema evolution, and query optimization.
- Hands-on experience in developing and managing Apache Airflow DAGs, scheduling workflows, dependency management, retries, backfills, and operational monitoring.
- Hands-on experience with at least one major cloud platform (AWS, Azure or GCP).
- Strong problem-solving skills and the ability to work independently with business and analytics stakeholders.
Nice to Have
- Hands-on exposure to Microsoft Fabric for data integration and analytics.
- Experience using AI coding assistants (e.g. Claude Code, GitHub Copilot) as part of a development workflow.
- Familiarity with modern DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and containerization (Docker/Kubernetes).
- Domain expertise in financial services.






