Software Engineering Specialist 194414

Who are we

Amdocs helps those who build the future to make it amazing. With our marketleading portfolio of software products and services we unlock our customers innovative potential empowering them to provide nextgeneration communication and media experiences for both the individual end user and enterprise customers. Our approximately 30000 employees around the globe are here to accelerate service providers migration to the cloud enable them to differentiate in the 5G era and digitalize and automate their operations. Listed on the NASDAQ Global Select Market Amdocs had revenue of $4.89 billion in fiscal 2023.

In brief

As a Development Expert you will be responsible for designing developing and supporting datadriven solutions within the data warehousing and analytics domain. You will work with cuttingedge technologies including Azure Databricks Spark Snowflake and other cloud platforms to build and optimize data pipelines. Your role will involve working on endtoend development production support and system enhancements while ensuring high performance and scalability of data solutions.

What will your job look like

• EndtoEnd Development: Design develop and deploy highperformance data pipelines and ETL solutions using Azure Databricks Spark and cloudbased data warehousing solutions.
• Design & Architecture: Understand highlevel design and application interface design and contribute to the lowlevel design. Provide recommendations for technical improvements and application optimizations.
• Technical Solutioning: Perform application analysis to propose technical solutions for enhancements and issue resolution.
• Coding & Testing: Write efficient and optimized SQL PL/SQL Spark and shell scripts conduct unit testing and deploy solutions in production.
• Production Support: Troubleshoot and resolve production issues (Tier 2 Support including weekend oncall rotation) to ensure adherence to SLAs.
• Documentation & Compliance: Create comprehensive technical documentation covering design development and support for all project deliverables.

All you need is...

As a Development Expert the candidate should have handson expertise in cuttingedge cloudnative data engineering technologies. The mandatory technical skills required for this role include:

Cloud Data Engineering & ETL Development

• Azure Databricks: At least 2 years of handson experience in Azure Databricks for building optimizing and managing data pipelines.
• Apache Spark (PySpark/Scala/Java): Minimum 4 years of experience in Sparkbased distributed data processing to handle largescale datasets efficiently.
• Delta Lake: Strong knowledge of Delta Lake architecture and optimization techniques like ZOrdering Bloom Filters and Optimize/Vacuum operations.
• CloudBased Data Warehousing: Minimum 3 years of handson experience working with Snowflake/ Google BigQuery/DataBricks for data transformations performance tuning and cost optimization.
• ETL & Data Pipelines: Expertise in designing and developing endtoend data pipelines using Cloud ETL tools (Databricks Pipelines ADF or equivalent).

Version Control:

• Experience working with Azure Repos GitHub or Bitbucket for source code management and collaboration. Advanced SQL Performance Optimization & Security
• Advanced SQL & PL/SQL: Ability to write optimize and debug complex queries on Snowflake BigQuery or other cloud databases.
• Query Performance Tuning: Strong knowledge of clustering partitioning caching indexing strategies materialized views and query tuning techniques in cloud databases.

Scripting Automation & Orchestration:

• Python & PySpark: Handson experience in Python scripting for ETL automation data transformation and API integrations.
• Unix/Linux & Shell Scripting: Strong expertise in writing advanced shell scripts for automation scheduling and log management.
• Job Scheduling & Workflow Orchestration: Experience with Apache Airflow Azure Data Factory for orchestrating complex data workflows.

Emerging Technologies & Best Practices:

• Data Streaming & RealTime Processing: Exposure to Apache Kafka Azure Event Hubs or Confluent Kafka for handling realtime data ingestion.
• Machine Learning Integration (Good to Have): Understanding of MLFlow Feature Store or AutoML for incorporating ML models into data pipelines.
• DataOps & Observability: Familiarity with Prometheus for monitoring and observability of data pipelines.

Key Takeaways:

• Strong expertise in Azure Databricks Apache Spark and Cloud Data Warehouses (Snowflake/BigQuery).
• Deep understanding of ETL architecture performance optimization and DevOps automation.
• Proficiency in Python SQL Unix scripting and workflow orchestration tools.
• Experience in cloud security data governance and emerging technologies like realtime streaming and ML integration.
• Bachelors degree in Science/IT/Computing or equivalent and 78 years experience as a software engineer or a software support engineer.

Good to have:

• Experience with other ETL technologies (Oracle Qlik Replicate Golden Gate Hadoop).
• Passion for continuous learning and adapting to new data warehousing technologies.

Why you will love this job:

• The chance to serve as a specialist in software and technology.
• You will take an active role in technical mentoring within the team.
• We provide stellar benefits from health to dental to paid time off and parental leave!

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