Snowflake Data Migration Engineer w/ Python
Akaasa Technologies
Snowflake Data Migration Engineer w/ Python
Must have:
- Snowflake & Advanced SQL
- Data Quality Controls & Validation
- Migration testing and production validation
- Experience with Informatica Data Quality/PowerCenter, Oracle, Redshift, Salesforce,
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- JSON is a plus.
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- Python
- AWS / S3
- MUST HAVE excellent COMMUNICATION
- Must have strong excellent communication
- LinkedIn Page
Senior Data Quality & Snowflake Migration Engineer:
- We are seeking an experienced Senior Data Quality & Snowflake Migration Engineer with strong expertise in Snowflake, SQL, Python, data migration, data integration, and data quality controls.
- The role will focus on ensuring data is accurately profiled, validated, transformed, reconciled, and migrated from legacy and source systems into Snowflake.
- The ideal candidate will have hands-on experience working with complex enterprise datasets and implementing data quality controls throughout the migration lifecycle, from source assessment through production validation.
- The candidate's experience includes data migrations, integrations, Snowflake development, data analysis, mapping, and data-quality implementation.
Key Responsibilities:
- Design and implement data quality controls for large-scale data migrations into Snowflake.
- Perform source data profiling and analysis to identify completeness, accuracy, consistency, duplication, and formatting issues.
- Define and implement pre-migration and post-migration validation controls.
- Develop SQL-based data quality rules, validation queries, and exception reporting.
- Perform source-to-target mapping, field mapping, transformation analysis, and fit-gap assessments.
- Develop Snowflake SQL and ETL/ELT processes for data cleansing, transformation, migration, and integration.
- Implement data reconciliation controls to validate record counts, key attributes, transformations, and source-to-target data accuracy.
- Identify migration exceptions, investigate data-quality defects, perform root-cause analysis, and coordinate remediation.
- Implement data cleansing, standardization, validation, duplicate identification, and data integrity controls.
- Build automated data validation and processing solutions using SQL and Python.
- Create Snowflake views, data extracts, dashboards, and exception reports to support migration monitoring and validation.
- Support migration testing, UAT, production cutover, and post-migration data validation.
- Work closely with data engineers, architects, analysts, and business stakeholders to define data quality acceptance criteria and migration controls.
Required Skills:
- Snowflake & Advanced SQL
- Data Quality Controls & Validation
- Data Migration & Reconciliation
- Data Profiling & Root-Cause Analysis
- Source-to-Target / Field Mapping
- ETL/ELT & Data Integration
- Python
- AWS / S3
- Data cleansing and standardization
- Data lineage and dependency analysis
- Exception reporting and remediation
- Migration testing and production validation
- Experience with Informatica Data Quality/PowerCenter, Oracle, Redshift, Salesforce, JSON is a plus.
Vacancy posted 2 days ago
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