Data Engineer Research & Analytics (https://jobs.concentrix.com/job-search/?category=Research & Analytics) Location Mexico Apply Now (https://apply.concentrix.com/global/en/apply?jobSeqNo=CONCGLOBALR1534820EXTERNALENGLOBAL&step=1&utm\_source=none) 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 theJob Applicant Privacy Notice for California Residents (https://www.concentrix.com/resource/job-applicant-privacy-notice-for-california-residents/)** Apply Now (https://apply.concentrix.com/global/en/apply?jobSeqNo=CONCGLOBALR1534820EXTERNALENGLOBAL&step=1&utm\_source=none)