Python Developer

Tata Consultancy Services; Chennai District; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in Chennai, India seeks an experienced PySpark Developer to design, develop, and maintain large-scale data processing solutions using Apache Spark and Python. The role focuses on data engineering, cloud-based data platforms, and performance optimization to support analytics initiatives.

You will build and optimize data pipelines, integrate diverse data sources, and collaborate with cross-functional teams to ensure data quality and reliable analytics delivery.

Qualifications

• Deep knowledge of PySpark, Spark, and Python.
• Experience with data ingestion, transformation, and storage.
• Exposure to cloud platforms (AWS, Azure, or Google Cloud).
• Strong understanding of DataFrames and Spark SQL, and real-time pipelines with Spark Streaming.
• Solid concepts of multithreading and distributed computing in PySpark.
• Proficient in Python, Java, or Scala, and effective communication.

Responsibilities

• Design, develop, and maintain PySpark data processing solutions.
• Develop and optimize data pipelines with PySpark and cloud platforms.
• Integrate data from relational, NoSQL databases and cloud storage.
• Implement data transformation logic with PySpark, Spark, and Python.
• Collaborate with cross-functional teams to define requirements and ensure data quality.

Skills

PySpark

Data Processing

Cloud Experience

DataFrames & Spark SQL

Spark Streaming

Multithreading / distributed computing

Python / Java / Scala

Communication

Job description

Job Summary:

An experienced PySpark Developer / Leads to design, develop, and maintain large-scale data processing solutions using Apache Spark and Python. The ideal candidate should have a strong background in data engineering, data processing, and cloud-based data platforms, big data ecosystems and performance optimization

Responsibilities:

• Data Processing: Design, develop, and maintain data processing solutions using PySpark, Apache Spark, and Python.
• Data Pipeline Development: Develop and optimize data pipelines using PySpark, Apache Spark, and cloud-based data platforms.
• Data Integration: Integrate data from various sources, including relational databases, NoSQL databases, and cloud storage.
• Data Transformation: Develop and implement data transformation logic using PySpark, Apache Spark, and Python.
• Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.

Required Skills:

• PySpark: In-depth knowledge of PySpark, Apache Spark, and Python.
• Data Processing: Strong understanding of data processing concepts, including data ingestion, data transformation, and data storage.
• Cloud Experience: Experience with cloud-based data platforms, including AWS, Azure, or Google Cloud.
• Expertise in DataFrames & Spark SQL, Spark Streaming with Apache Kafkareal-time data ingestion pipelines
• Very good conceptual understanding of Multithreading, distributed computing concepts of Pyspark
• Programming: Proficiency in programming languages, including Python, Java, or Scala.
• Communication: Excellent communication and collaboration skills.

Preferred Skills:

• Apache Spark Certifications: Relevant certifications, such as Apache Spark Certification or Cloudera Certified Spark Developer.
• Big Data: Experience with big data technologies, including Hadoop, HBase, or Cassandra.
• Machine Learning: Experience with machine learning frameworks, including TensorFlow, PyTorch, or Scikit-learn.
• Data Science: Experience with data science tools, including Jupyter Notebook, Pandas, or NumPy