
Data Engineering Leader
3 days ago
Lead Data Architect and Engineering Manager
We are seeking a seasoned data professional to spearhead our data engineering teams, driving innovation and excellence in data management.
About the Role- Collaborate with Big Data Solution Architects to design, implement, and optimize data ingestion pipelines for seamless data sharing across various business systems.
- Develop and maintain ETL/ELT ingestion pipelines and analytics solutions using cloud technologies such as Azure Data Factory (ADF), Talend, and Databricks.
- Evaluate and ensure that designed, coded, and procedural aspects of solutions meet operational, security, and compliance standards.
- Implement monitoring and logging solutions to guarantee data pipelines run smoothly and issues are promptly identified.
- Maintain adherence to security policies and data protection regulations in all data processing activities.
- Lead efforts to ensure data accuracy, consistency, and reliability in large-scale data pipelines.
- Participate in daily project meetings and production delivery meetings, providing technical support for issue resolution.
- Work closely with stakeholders to understand their requirements and ensure seamless data integration.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).
- At least 5 years of experience in data engineering and data warehousing, focusing on building large-scale data pipelines.
- Experience working with Big Data distributed systems like Microsoft Fabric, AWS EMR, and Apache Kafka.
- Strong proficiency in developing data pipelines using PySpark, SQL, and ETL tools.
- Solid understanding of data modeling, ETL processes, and best practices in data warehousing.
- Excellent problem-solving and critical thinking skills.
- Experience writing unit and integration tests for ingestion pipelines.
- Working knowledge of CI/CD pipelines for deployments and version control systems like Git.
- Knowledge of designing, developing, and managing secure data pipelines.
We are a team of over 700 professionals working on innovative enterprise projects and products. Our clients include Fortune 100 retail and CPG companies, leading store chains, fast-growing fintech firms, and Silicon Valley startups.
We stand out for our focus on processes and culture, fostering a vibrant culture of learning through collaboration and making the workplace enjoyable.
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