Senior Python Developer

We are seeking an experienced Senior Python Developer to join our dynamic LSH Data Platform Team. You will play a pivotal role in designing, developing, and maintaining Python-based data processing applications and services that support scalable big data solutions. If youre excited about combining deep Python skills with cutting-edge technologies like Apache Spark, PySpark, SQL, and relational databases, we want to hear from you.

About You - experience, education, skills, and accomplishments

• At least 5+ years of hands-on Python software development experience.
• Advanced proficiency in SQL, database design, and relational database systems.
• At least 2 years of strong expertise in Apache Spark and PySpark for building scalable data solutions
• Experience developing and deploying solutions on cloud platforms, particularly AWS (S3, ECS, EMR, Glue, RDS).
• Familiarity with orchestration tools like Apache Airflow.
• Solid grasp of CI/CD principles and experience implementing automated pipelines
• Bachelor s degree required; Master s degree preferred, preferably in a quantitative or technical field

It would be great if you also had

• Practical experience with Databricks and Snowflake.
• Exposure to Cassandra, Hadoop, Apache Hive.
• Experience with Jupyter notebooks and BI tools like Tableau or PowerBI.
• Familiarity with PL/SQL and Oracle GoldenGate

What will you be doing in this role

• Application Development

  : Design, build, and maintain scalable Python applications for data processing, transformation, and analytics.

• Big Data Integration:

  Leverage Apache Spark, PySpark, and related big data technologies to develop distributed data processing pipelines.

• Database Expertise:

  Utilize strong proficiency in SQL and relational database concepts to design efficient data models, optimize queries, and manage data quality.

• Best Practices Enforcement:

  Implement and uphold best practices in Python software development, testing, and CI/CD pipelines.

• Continuous Improvement

  : Stay current with evolving Python, and big data ecosystem technologies, recommending improvements and new approaches to enhance our data platform.

Hours of Work

• Fulltime
• 45 h/week
• Hybrid working model (Location: Bangalore)