Required skills
Languages: English
Job description
Project overview
Experience: 4 to 6 Years (Data Engineering) with Large-Scale Cloud Data Platform Migrations
Role Overview
We are seeking experienced Data Engineers to lead and support the migration of large-scale analytical and reporting workloads from Amazon Redshift to Databricks Lakehouse Platform. The ideal candidate will have hands-on experience in data warehouse modernization, ETL/ELT migration, performance optimization, cloud-native architectures, and big data processing.
Key Responsibilities
Required Skills
Data Engineering
Migration Experience
o Redshift to Databricks
o Teradata/Snowflake/Hadoop to Databricks (preferred)
Compliant working and operation of supported GxP systems.
- Lead the migration of data pipelines, data models, and reporting workloads from Redshift to Databricks.
- Perform assessment and discovery of existing Redshift environments, schemas, workloads, and dependencies.
- Design and implement scalable data solutions using Databricks, Delta Lake, and Spark.
- Convert SQL-based ETL/ELT processes into Databricks notebooks, workflows, and pipelines.
- Optimize data ingestion, transformation, and storage for performance and cost efficiency.
- Develop batch and streaming data pipelines using PySpark and Spark SQL.
- Implement data quality, reconciliation, and validation frameworks during migration.
- Collaborate with business stakeholders, architects, and analytics teams to ensure successful migration and adoption.
- Troubleshoot performance bottlenecks and tune Spark jobs, Delta tables, and SQL workloads.
- Establish CI/CD processes and infrastructure-as-code practices for Databricks environments.
- Document migration strategies, architecture, and operational procedures.
- Strong experience with large-scale data warehousing and data lake architectures.
- Hands-on experience with Amazon Redshift and Databricks.
- Expertise in PySpark, Spark SQL, and Python.
- Strong SQL development and query optimization skills.
- Experience with data modeling (Star Schema, Snowflake Schema, Dimensional Modeling).
- Prior experience migrating from:
- Data validation, reconciliation, and cutover planning.
- Performance tuning and workload modernization.
Project details
- Start: flexible
- Remote: remote
- Location: Remote Location, US
- Rate: 39-46 EUR/h
- Languages: English
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