Role For Python Developer

Altimetrik; Pune District, Chennai District, Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Altimetrik is hiring a PySpark Developer / Senior Data Engineer in India (Pune/Bangalore/Chennai). You will design and optimize scalable data pipelines, work with PySpark, Python, SQL, and Spark, and contribute to cloud-based data platforms and data warehouses.

The role requires 6–9 years in data engineering with hands-on PySpark and SQL prowess, and experience in ETL/ELT pipelines, data quality checks, and CI/CD practices in an Agile setting.

Qualifications

• 6-9 years of experience in Data Engineering.
• Strong hands-on experience with PySpark and Python.
• Strong SQL skills and experience working with large datasets.
• Good understanding of Apache Spark architecture and optimization.
• Experience in developing and maintaining ETL/ELT pipelines.
• Experience with cloud platforms such as AWS / Azure / GCP.
• Good understanding of data warehousing and data lake concepts.
• Experience with Git and CI/CD practices.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, and optimize scalable data pipelines using PySpark.
• Work with Python, SQL, Spark, and distributed data processing frameworks.
• Develop ETL/ELT pipelines for large-scale structured and unstructured datasets.
• Perform data transformation, cleansing, validation, and aggregation using PySpark.
• Work with cloud-based data platforms and data warehouses.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Troubleshoot data pipeline issues and perform root-cause analysis.
• Collaborate with Data Engineers, Architects, Analysts, and business stakeholders.
• Implement data quality checks and follow best practices for data engineering.
• Work in an Agile development environment.

Skills

Data Engineering

PySpark

Python

SQL

Spark

ETL/ELT pipelines

Distributed data processing

Agile development

Tools

Databricks

Airflow

Kafka

Git

CI/CD

AWS

Azure

GCP

Job description

We @ Altimetrik are Hiring PySpark Developer!

Are you an experienced PySpark / Data Engineer looking for your next opportunity?

Altimetrik is a digital business transformation company helping organizations build and scale modern digital solutions through data, cloud, engineering, and product innovation.

Role: PySpark Developer / Senior Data Engineer

Experience: 6-9 Years
Location: Pune / Bangalore / Chennai
Employment: Full-time

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using PySpark.
• Work with Python, SQL, Spark, and distributed data processing frameworks.
• Develop ETL/ELT pipelines for large-scale structured and unstructured datasets.
• Perform data transformation, cleansing, validation, and aggregation using PySpark.
• Work with cloud-based data platforms and data warehouses.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Troubleshoot data pipeline issues and perform root-cause analysis.
• Collaborate with Data Engineers, Architects, Analysts, and business stakeholders.
• Implement data quality checks and follow best practices for data engineering.
• Work in an Agile development environment.

Required Skills

• 6-9 years of experience in Data Engineering.
• Strong hands-on experience with PySpark and Python.
• Strong SQL skills and experience working with large datasets.
• Good understanding of Apache Spark architecture and optimization.
• Experience in developing and maintaining ETL/ELT pipelines.
• Experience with cloud platforms such as AWS / Azure / GCP.
• Good understanding of data warehousing and data lake concepts.
• Experience with Git and CI/CD practices.
• Strong analytical and problem-solving skills.

Good to Have

• Experience with Databricks.
• Knowledge of Delta Lake.
• Experience with Airflow or other workflow orchestration tools.
• Experience with Kafka or other streaming technologies.
• Exposure to cloud data services and modern data architecture.

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