Data Analytics Engineer

We are seeking an experienced Data Analytics Engineer to design, develop, and maintain scalable data solutions that support business intelligence, reporting, and advanced analytics. The ideal candidate will have strong experience in data engineering, SQL, cloud data platforms, data modeling, ETL/ELT pipelines, and analytics tools., * Design and develop scalable ETL/ELT pipelines for analytics and reporting.

• Extract, transform, and integrate data from multiple sources.
• Develop complex SQL queries, stored procedures, and data transformations.
• Design and maintain data warehouses, data lakes, and analytical data models.
• Build and optimize data pipelines using Python, SQL, or similar technologies.
• Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Develop dashboards, reports, and analytical datasets for business stakeholders.
• Work with Power BI, Tableau, or similar business intelligence tools.
• Perform data validation, cleansing, quality checks, and reconciliation.
• Optimize queries and data pipelines for performance and scalability.
• Collaborate with data scientists, business analysts, developers, and stakeholders.
• Implement data governance, security, and access-control practices.
• Monitor data pipelines and troubleshoot data quality or processing issues.
• Support real-time and batch data processing requirements.
• Maintain technical documentation for data models, pipelines, and processes.
• Participate in Agile/Scrum ceremonies and cross-functional team activities.

• 5+ years of experience in Data Analytics, Data Engineering, or a related field.
• Strong hands-on experience with SQL and relational databases.
• Strong experience with Python for data processing and automation.
• Experience developing ETL/ELT pipelines.
• Experience with data warehousing and dimensional data modeling.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse.
• Experience with Power BI, Tableau, or similar BI tools.
• Strong understanding of data quality and data governance.
• Experience with Git and version-control systems.
• Knowledge of data integration and API-based data sources.
• Strong analytical, troubleshooting, and problem-solving skills., * Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• Experience with Apache Spark or other distributed data processing technologies.
• Experience with Apache Airflow or similar workflow orchestration tools.
• Experience with Kafka or real-time data processing.
• Experience with cloud-based data lakes and lakehouse architectures.
• Knowledge of CI/CD and automated data deployment processes.
• Experience with advanced analytics and machine-learning data preparation.
• Experience working in enterprise-scale data environments.
• AWS, Azure, Google Cloud Platform, Snowflake, or Databricks certification is preferred.
• Strong communication and stakeholder-management skills., Candidates must have valid authorization to work in the United States. Specific work-authorization requirements may vary based on the client and tax/employment type.