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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,
        • JSON is a plus.
  • 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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