ETL Developer

Overview

On Site
Up to $120,000
Full Time

Skills

ETL
Qlik Replicate
YugabyteDB

Job Details

Job Title: ETL Developer

Position Summary:

We are seeking a skilled ETL Developer to design, build, and maintain robust data pipelines for structured and semi-structured data across real-time, near-real-time, and batch workloads. The ideal candidate will be hands-on with modern ETL tools and data platforms, with strong experience in Snowflake, data integration, and data quality management.

Required Skillset & Experience:

  • 7+ years of experience as an ETL Developer or Data Engineer.
  • Proven expertise in ETL/ELT pipeline designfor structured and semi-structured data.
  • Hands-on experience with Qlik Replicateor equivalent real-time replication tools.
  • Strong proficiency with Snowflake(data ingestion, SQL, performance tuning).
  • Solid understanding of data integrationfrom APIs and external data sources.
  • Experience in data modeling, normalization, and relational database design.
  • Knowledge of data governance, quality frameworks, and best practices.
  • Proficient in Pythonand Java scripting for ETL logic and automation.
  • Familiarity with CI/CD toolssuch as Git, Jenkins, or Azure DevOps.
  • Experience working with distributed databaseslike YugabyteDB.

Key Responsibilities:

  • Design, develop, and maintain efficient ETL/ELT pipelinesto ingest, transform, and load data from a variety of sources.
  • Implement real-time and near-real-time replicationusing tools like Qlik Replicate or similar technologies.
  • Work extensively with Snowflake, including data loading, transformation (SQL and scripting), and performance tuning.
  • Integrate and manage multiple data sources, including flat files, databases, and third-party APIs.
  • Develop and optimize data models, ensure proper data normalization, and maintain high-quality data structures.
  • Ensure data governance, data lineage, and security compliance throughout the data lifecycle.
  • Implement and support CI/CD pipelinesfor automated data pipeline deployments and testing.
  • Write efficient Pythonand Java scripts for data manipulation, transformation, and automation tasks.
  • Collaborate with DevOps and cloud teams to build scalable, fault-tolerant data workflows.
  • Utilize and manage distributed SQL databases such as YugabyteDB.
  • Perform data validation, error handling, and implement logging and monitoring for pipeline health and SLA compliance.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.