Pyspark - Data Architect

Key Skill: Pyspark, big data – Hadoop, hive, impala, kafka

Description:

Responsibilities

1. 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.
2. 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.
3. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements.
4. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes.
5. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline.
6. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem.
7. Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes.
8. Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives.
9. Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.

Qualifications

Education and Experience

1. Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
2. 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.

Technical Skills

1. PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
2. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
3. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala).
4. Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools.
5. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
6. Scripting and Automation: Strong scripting skills in Linux.

About Virtusa

Add the Middle East to your global professional experience and have the opportunity to work on some of the leading Digital Transformation programs.

Virtusa is one of the fastest growing IT Services companies in the Middle East with a growing client base in the UAE, KSA, Qatar & Oman and we work with the leading Banking and Financial Services, Travel, Telecom and Enterprises firms in the region. We have partnered with our clients to win awards from Gartner, IDC, WfMC and other analyst for the work that we have delivered to our clients in the region.

Why would you not like to be part of this exciting and award-winning team? Don’t listen to us, listen to our customers.

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000+ people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state-of-the-art technologies throughout your career with us.