Data Engineer- PySpark
- Valuelabs
- 5 - 9 years
- Bengaluru
- 2 days 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
Keyskills: Pyspark Automation Linux Cloudera Hadoop Hadoop Big Data Technologies Data Warehousing Python SQL HBase
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Valuelabs
About ValueLabs We are a leading global technology company specializing in Digital Enablement and Product Development. Through our unique OneCompany model of engagement, we help companies unleash the potential of digital technology to achieve real business outcomes, make processes frictionless a...
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