Senior Data Engineer

Role Description

Pyramid Systems is looking for a Data Engineer (Senior) who is passionate about bringing creative architect solutions to end customers.

• Plan, create, and maintain data architectures, ensuring alignment with business requirements
• Obtain data, formulate dataset processes, and store optimized data
• Identify problems and inefficiencies and apply solutions
• Determine tasks where manual participation can be eliminated with automation
• Identify and optimize data bottlenecks, leveraging automation where possible
• Create and manage data lifecycle policies (retention, backups/restore, etc)
• In-depth knowledge for creating, maintaining, and managing ETL/ELT pipelines
• Create, maintain, and manage data transformations
• Maintain/update documentation
• Create, maintain, and manage data pipeline schedules
• Monitor data pipelines
• Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality
• Support AI/ML teams with optimizing feature engineering code
• Expertise in Spark/Python/Databricks, Data Lake and SQL
• Create, maintain, and manage Spark Structured Streaming jobs, including using the newer Delta Live Tables and/or DBT
• Research existing data in the data lake to determine best sources for data
• Create, manage, and maintain ksqlDB and Kafka Streams queries/code
• Data driven testing for data quality
• Maintain and update Python-based data processing scripts executed on AWS Lambdas
• Unit tests for all the Spark, Python data processing and Lambda codes
• Maintain PCIS Reporting Database data lake with optimizations and maintenance (performance tuning, etc)
• Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness

Qualifications

• 8+ years of IT experience focusing on enterprise data architecture and management
• Must be able to obtain a Public Trust security clearance
• MUST BE US CITIZEN
• Bachelor degree required
• Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling
• Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required
• Additional experience with Spark, Spark SQL, Spark DataFrames and DataSets, and PySpark
• Data Lake concepts such as time travel and schema evolution and optimization
• Structured Streaming and Delta Live Tables with Databricks a bonus
• Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support
• Advanced level understanding of streaming data pipelines and how they differ from batch systems
• Formalize concepts of how to handle late data, defining windows, and data freshness
• Advanced understanding of ETL and ELT and ETL/ELT tools such as SSIS, Pentaho, Data Migration Service etc
• Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.
• Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
• Understanding of streaming data pipelines and batch systems
• Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization)
• Indexing and partitioning strategy experience
• Debug, troubleshoot, design and implement solutions to complex technical issues
• Experience with large-scale, high-performance enterprise big data application deployment and solution
• Understanding how to create DAGs to define workflows
• Familiarity with CI/CD pipelines, containerization, and pipeline orchestration tools such as Airflow, Prefect, etc a bonus but not required
• Architecture experience in AWS environment a bonus
• Familiarity working with Kinesis and/or Lambda specifically with how to push and pull data, how to use AWS tools to view data in Kinesis streams, and for processing massive data at scale a bonus
• Experience with Docker, Jenkins, and CloudWatch
• Ability to write and maintain Jenkinsfiles for supporting CI/CD pipelines
• Experience working with AWS Lambdas for configuration and optimization
• Experience working with DynamoDB to query and write data
• Experience with S3
• Knowledge of Python (Python 3 desired) for CI/CD pipelines a bonus
• Familiarity with Pytest and Unittest a bonus
• Experience working with JSON and defining JSON Schemas a bonus
• Experience setting up and management Confluent/Kafka topics and ensuring performance using Kafka a bonus
• Familiarity with Schema Registry, message formats such as Avro, ORC, etc.
• Understanding how to manage ksqlDB SQL files and migrations and Kafka Streams
• Ability to thrive in a team-based environment
• Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management

Education

• Bachelor's degree in Computer Science or related discipline

Target Pay Range

• Pyramid Min: USD $106,131.00/Yr.
• Pyramid Max: USD $159,196.00/Yr.

Benefits

• Competitive compensation
• Employee Stock Ownership Program
• FlexPTO
• Learning and development opportunities