Job
Description
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)
