
Data Systems Specialist
1 day ago
Job Title: Data Systems Specialist
A top candidate for this role will be able to effectively integrate and process channel activity data from multiple sources.
Job Description:
We are looking for a highly skilled Data Systems Specialist with expertise in digital channel activities, data engineering, and cloud technologies. The ideal candidate will possess strong knowledge of AWS, Python, and have work experience in handling data from various sources such as Hadoop, and Terradata, working on large-scale data engineering solutions for data, and knowledge of data processing architecture.
Key Responsibilities:
- Data Pipelines: Design, build, and maintain robust data pipelines for processing channel activity data, focusing on digital channels and integrating multiple sources of data such as Hadoop and Terradata.
- Cloud Infrastructure: Work on AWS cloud infrastructure (including services like Pyspark, Glue, EMR, lambda, Redshift, Athena, and other services like Iceberg) and orchestration tools like Airflow to ensure high availability, scalability, and performance.
- Python Development: Leverage Python for building automated data engineering solutions and data transformations.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure data from various digital channels is effectively ingested and processed.
- Architecture Decisions: Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
- Data Quality and Governance: Ensure data quality, governance, and integrity across all data systems.
- Continuous Learning: Engage in continuous learning and adapting of new technologies and industry best practices to improve data processes.
Requirements:
- Experience: Proven experience working as a Data Engineer in greenfield environments (i.e., starting projects from scratch).
- AWS: Strong hands-on experience with AWS technologies such as Pyspark, Glue, EMR, lambda, Redshift, Athena, EC2, and S3.
- Python: Proficiency in Python for data processing, automation, and pipeline development.
- Big Data Platforms: Experience with big data technologies like Hadoop and Terradata.
- Analytical Skills: Ability to analyze and interpret data from different digital channels.
- Collaboration: Ability to work closely with cross-functional teams, including business analysts, data scientists, and stakeholders.
- Problem Solving: Strong problem-solving skills and ability to handle complex data-related challenges.
- Communication: Excellent communication skills, both written and verbal, for documentation and collaboration.
Desirable Qualifications:
- Education: A degree in Computer Science, Engineering, or a related field.
- Certifications: Certifications or experience in AWS Cloud or relevant data engineering tools would be beneficial.
- Additional Skills: Experience in working on snowflake would be good to have. Knowledge of ingesting real-time data (Apache Kafka) would be advantageous.
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