Easter Seals Jobs

Job Title:

Data Engineer

Job Description

Key Responsibilities:

• Data Pipeline Development: Design, build, and manage scalable, reliable, and efficient ETL/ELT data pipelines to ingest, process, and store large datasets from various data sources.

• Data Integration: Integrate data from different sources such as APIs, relational databases, NoSQL databases, flat files, and streaming data into centralized data lakes or data warehouses.

• Database Management & Optimization: Implement and maintain data storage solutions such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud-based data warehouses (e.g., Amazon Redshift, Google BigQuery).

• Data Quality & Validation: Ensure data quality and integrity through the design and implementation of data validation, cleansing, and enrichment processes. Identify and address data discrepancies and inconsistencies.

• Collaboration with Teams: Collaborate with data scientists, analysts, and software engineers to understand data requirements, and deliver data solutions that meet analytical and operational needs.

• Performance Tuning: Optimize data pipelines and data storage systems for maximum efficiency, scalability, and performance. Proactively monitor system performance and troubleshoot issues.

• Data Governance & Security: Work closely with the data governance and security teams to ensure that data solutions comply with organizational standards, privacy laws (e.g., GDPR, CCPA), and security policies.

• Cloud Data Engineering: Design and manage data workflows in cloud environments such as AWS, Azure, or Google Cloud, utilizing cloud-native services for data processing and storage.

• Automation & Scheduling: Automate data workflows and implement scheduling tools (e.g., Airflow, Cron) to ensure timely data delivery for reports, dashboards, and analytics.

• Documentation: Create and maintain technical documentation for data pipelines, data models, and data management processes to ensure knowledge sharing and reproducibility.

Requirements:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.

• Experience:

• Minimum of 3-5 years of experience in data engineering, ETL development, or database management.

• Experience with cloud platforms and cloud-native data processing tools.

• Skills & Expertise:

• Proficiency with SQL for querying and manipulating data.

• Experience with data integration tools (e.g., Apache Airflow, Talend, Informatica) and ETL/ELT processes.

• Strong programming skills in Python, Java, or Scala for data processing.

• Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).

• Experience with data warehousing solutions (e.g., Snowflake, Amazon

#ConcentrixCatalyst

Location:

MEX Work-at-Home

Language Requirements:

Time Type:

If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents (https://www.concentrix.com/resource/job-applicant-privacy-notice-for-california-residents/)