Senior Data Engineer Python Hucon Solutions India Pvt.Ltd.

  • company name Hucon Solutions India Pvt.Ltd.
  • working location Office Location
  • job type Full Time

Experience: 6 - 6 years required

Pay: INR 1600000 - INR 2800000 /year

Type: Full Time

Location: Bangalore

Skills: Python, pyspark, data pipeline

About Hucon Solutions India Pvt.Ltd.

Job Description

Job Title: Senior Data Engineer Python | PySpark

Experience Required: 6 -10 Years
Job Locations: Bangalore | Pune | Chennai
Employment Type: Full-Time | Permanent

Job Description:

We are hiring experienced Senior Data Engineers skilled in Python and PySpark to join our data engineering team. The selected candidate will be responsible for building and optimizing scalable data pipelines and large-scale processing systems to support data analytics, business intelligence, and machine learning use cases.

Roles & Responsibilities:

  • Develop and maintain data pipelines using PySpark and Python
  • Build robust ETL/ELT workflows to process large-scale data sets
  • Work with structured and unstructured data from multiple sources
  • Write efficient and reusable code for data transformation and integration
  • Optimize data jobs for performance and cost in big data environments
  • Collaborate with data architects, analysts, and business teams to define data requirements
  • Troubleshoot and resolve pipeline failures and bottleneck.

Key Skills Required:

  • Expertise in Python programming for data manipulation and scripting
  • Strong hands-on experience with PySpark and distributed data processing
  • Knowledge of SQL, data modeling, and data warehousing concepts
  • Familiarity with big data platforms such as Hadoop/Spark
  • Experience with version control tools like Git, and workflow tools like Airflow (preferred)
  • Problem-solving mindset and ability to debug data pipeline issues

Preferred Qualifications:

  • Experience in cloud platforms (AWS / Azure / GCP) is a plus
  • Exposure to data lake architectures and streaming tools (Kafka, Spark Streaming)
  • Ability to work in Agile environments and deliver within deadlines