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JobbörseOffen

Senior Data Engineer

Sierra Business Solution LLC · Remote Location, USA · Remote · SENIOR

  • Remote Location, USA · Remote
  • English

Indexiert (heute) · laufend aktualisiert

Budget
39–46 $ / h
Start
flexible
Arbeitsmodell
Remote
Vertrag
Freelance / B2B
Erfahrungslevel
SENIOR
Referenz
110926120214

Geforderte Skills

Nice to have:TeradataSnowflakeHadoop

Sprachen: English

Jobbeschreibung

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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