Pune, Maharashtra, India
Manufacturing & Industrial
Full-Time
Cognizant
Overview
Role: Python
Technical Expertise
Technical Expertise
- Expertise in PySpark, database migration, transformation, and integration for data warehousing.
- Strong knowledge of Apache Spark and Python programming.
- Experience in developing data processing tasks using PySpark (data reading, merging, enrichment, loading).
- Familiarity with deployment tools (e. g. , Airflow, Control-M) and Unix/Linux Shell scripting.
- Skills in advanced data modeling and processing unstructured data.
- Hands-on experience with Jupyter Notebook, Zeppelin, and PyCharm.
- Proficient in AWS S3 filesystem operations.
- Knowledge of Hadoop, Hive, and Cloudera/Hortonworks Data Platforms.
- Extensive experience with Processing Framework (Spark 2. x/3. x), including Spark SQL and Streaming.
- Strong capabilities in RDBMS (Postgres, Oracle) and NoSQL databases.
- Familiarity with streaming platforms like Apache Kafka and Spark Streaming.
- Experience designing and executing data pipelines using ETL/ELT tools.
- In-depth knowledge of Big Data Hadoop, particularly HDP/CDH Migration to Cloudera CDP platform.
- Ability to optimize and troubleshoot PySpark applications for performance.
- Minimum 5 years of experience with PySpark, Kubernetes, and Docker.
- Strong design knowledge in data warehousing concepts.
- Proficient in Unix/Ubuntu scripting and tuning code for large data volumes.
- Capable of translating functional requirements into technical specifications.
- Involved in testing PySpark modules, ETL mappings, and ensuring client satisfaction.
- Experienced in coding, implementing, debugging, and documenting complex programs.
- Responsible for technical documentation and business needs analysis.
- Provides technical guidance and resolves programming-related issues.
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