Data Engineer- PySpark

Valuelabs

5 - 9 years

15 - 30 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

Pyspark Automation Linux Cloudera Hadoop Hadoop Big Data Technologies Data Warehousing Python SQL HBase

Work Mode

Work from Office

Job Type

Full Time

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 Master’s 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.

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