We are looking for an experienced and detail-oriented SQL Data Engineer to join our data team. In this role, you’ll be responsible for building, optimizing, and maintaining data pipelines, ensuring data integrity, and supporting the business with reliable and scalable data solutions. You’ll work closely with analysts, data scientists, and business stakeholders to enable data-driven decision-making.
Key Responsibilities:
Design, build, and maintain ETL/ELT data pipelines and workflows.
Develop and optimize complex SQL queries to extract, transform, and load data from various sources.
Ensure high performance, availability, and accuracy of data pipelines and systems.
Collaborate with cross-functional teams to understand data needs and deliver robust solutions.
Maintain and improve data models, schemas, and data warehouse structures.
Perform data validation and quality checks to ensure data consistency.
Monitor data pipelines and troubleshoot issues proactively.
Document technical processes and data flows.
Required Skills & Experience:
Proven experience as a Data Engineer, Database Developer, or similar role.
Strong proficiency in SQL (complex queries, performance tuning, stored procedures).\
Experience with ETL tools (e.g., SSIS, Azure Data Factory, Talend, Informatica).
Familiarity with relational databases (e.g., SQL Server, PostgreSQL, Oracle).
Knowledge of data warehousing concepts and experience with platforms like Snowflake, BigQuery, or Redshift is a plus.
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