Senior Data Engineer
$55 - $60 per hourCynet Systems
Job Overview:
Pay Range: $55.00hr - $60.00hr
Requirement/Must Have:
Pay Range: $55.00hr - $60.00hr
Requirement/Must Have:
- 5+ years of experience in data engineering, with demonstrated ownership of large-scale data migration projects.
- Strong to expert-level proficiency in Python for building and automating data pipelines.
- Deep hands-on experience with PostgreSQL/Oracle, including schema design, query optimization, and performance tuning.
- Proven experience designing and managing ETL/ELT pipelines at scale (millions of records).
- Experience mapping and transforming complex, legacy data structures across disparate systems or business entities.
- Strong understanding of data validation, reconciliation, and quality assurance techniques.
- Solid grasp of data modeling principles (normalization, indexing, partitioning).
- Experience with version control (Git) and CI/CD practices for data pipelines.
- Lead the end-to-end migration (transformation and load) of high-volume, high-complexity data into a new PostgreSQL-based infrastructure.
- Design, build, and maintain robust ETL/ELT pipelines capable of processing millions of records reliably and efficiently.
- Map and reconcile complex legacy data structures across multiple business entities into a unified target schema.
- Define and implement data validation frameworks to ensure integrity, completeness, and accuracy throughout the migration.
- Optimize pipeline performance, including query tuning, indexing strategy, and batch/incremental load design in PostgreSQL.
- Identify, troubleshoot, and resolve data quality issues, schema mismatches, and pipeline failures.
- Document data mappings, transformation logic, and migration runbooks for engineering and business stakeholders.
- Partner with business and technical stakeholders to align migration scope, timelines, and data requirements.
- Establish monitoring, logging, and alerting to track pipeline health and data quality post-migration.
- Mentor junior data engineers and contribute to engineering best practices and standards.
- Experience with orchestration tools (e.g., Airflow, Dagster, Prefect).
- Familiarity with cloud data platforms (AWS, GCP, or Azure).
- Experience with other relational or NoSQL databases and cross-database migrations.
- Background working in regulated or high-stakes data environments.
- Experience with containerization (Docker) and infrastructure-as-code.
- Exposure to data quality/testing frameworks (e.g., Great Expectations, dbt tests).
- Python.
- PostgreSQL.
- Oracle.
- ETL/ELT.
- Data Migration.
- Schema Design.
- Query Optimization.
- Data Modeling.
- Git.
- CI/CD.
- 5+ years of experience in data engineering.
- Expertise in Python and SQL databases.
Vacancy posted 1 day ago
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