Sr Data Engineer

Job highlights

• Job Type. Full time. Disclaimer: This job posting has been aggregated from external source
• experience with Hive / Hadoop is a plus. . Strong focus on data quality,validation,reconciliation,anomaly detection,and audit ability.

Job Summary

Seeking a Senior Data Engineer with 6+ years of experience in building scalable data pipelines, data models, and enterprise-grade data solutions. The role requires strong expertise in Python, SQL, data architecture, workflow orchestration, and data quality frameworks, along with experience handling highly governed finance, risk, or compliance data. The ideal candidate will own end-to-end data engineering processes, from solution design and development to deployment, monitoring, and operational support.

Responsibilities

• 6+ years of experience in data engineering.
• Strong data architecture and system design skills with the ability to make sound trade-offs around data modeling, partitioning, and scalability.
• Demonstrated end-to-end ownership of production data pipelines, including design, deployment, monitoring, and operational support.
• Expertise in Python and SQL as primary tools; experience with Hive/Hadoop is a plus.
• Strong focus on data quality, validation, reconciliation, anomaly detection, and audit ability.
• Experience working with finance, risk, compliance, or other highly regulated data domains requiring strong data lineage and governance.
• Proven experience designing and building transaction and fact tables.
• Advanced SQL skills, including window functions, CTEs, CASE statements, and working across MySQL/PostgreSQL environments.
• Strong Python expertise, including pandas, SQLAlchemy, type hints, data classes, and object-oriented pipeline development.
• Experience with workflow orchestration platforms such as Airflow or similar tools.
• Strong understanding of data modeling concepts including fact/dimension modeling, normalization, and medallion architecture.
• Experience with YAML-based configurations, CI/CD practices, and Git-based development workflows.

Requirements

• Strongly preferred: Experience with enterprise data platforms, internal data tooling ecosystems, metadata/catalog solutions, secrets management tools, developer productivity platforms, and ETL orchestration frameworks.
• Nice-to-have: Experience with Hive, Hadoop, Spark, or related big data technologies.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive insurance plans.
• Collaborative and supportive work environment.
• Chance to learn and grow with a talented team.
• A positive and fun work environment.

Job Type

Full time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.