Data Engineer- PySpark
- Valuelabs
- 5 - 9 years
- Bengaluru
- 8 months ago
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Job Description
Job Title- PySpark Data Engineer
We're growing our Data Engineering team at ValueLabs and looking for a talented individual to build scalable data pipelines on Cloudera Data Platform!
Experience- 5years to 9years.
Pyspark Job Description:
- Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy.
- Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.
- Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements.
- Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes.
- Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline.
- Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem.
- Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes.
- Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives.
- Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.
Qualifications Education and Experience
- Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform. Technical Skills
- PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
- Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
- Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala).
- Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools.
- Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
- Scripting and Automation: Strong scripting skills in Linux.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: ValuelabsLocation(s): Bengaluru+ View Contact
Keyskills: Pyspark Automation Linux Cloudera Hadoop Hadoop Big Data Technologies Data Warehousing Python SQL HBase
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