[Hiring] Data Engineer @Sparibis

Role Description

• 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

• 5+ years of IT experience focusing on enterprise data architecture and management.
• Must have an active Secret security clearance.
• Bachelor degree required.
• CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to begin supporting the program.
• Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling.
• Experience with Databricks and Python Development, 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.
• Knowledge of Python (Python 3.X) for CI/CD pipelines required.
• Familiarity with Pytest and Unittest 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.
• 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.
• Proficiency using Git for version control, including repository management, branching, merging, and pull requests.
• Repository setup and management.
• Branching strategies (feature, develop, main).
• Merging and resolving conflicts.
• Creating and reviewing pull requests.
• Commit best practices (clear messages, atomic commits).
• Tagging and release management.

Requirements

• 5+ years Professional Experience.
• Bachelor’s Degree in IT related field.
• Applicants must be able to obtain and maintain a secret security clearance.
• United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
• CompTIA Security + certification required.

Benefits

• Remote work flexibility.
• Equal opportunity employer that values diversity.

Company Description

Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.