Data Engineer - SQL
Data Engineer - SQL
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Job Description
Tasks
Description:
We are looking for a strong Data Engineer who can work with a large amount of data and can prepare it for the ML pipelines provide data analysis and visualization and continuously do storage optimization tasks. Experience with a different type of SQL databases(MySQL/PostgreSQL/MSSQL) knowledge of JOINS inner selects and index specification/creation to speed up requests.
Responsibilities:
Design develop and maintain scalable data pipelines and ETL processes to support analytics and business intelligence.
Write complex SQL queries to extract transform and analyze large datasets from multiple sources.
Build and maintain dashboards reports and other data visualizations to deliver actionable insights to business stakeholders.
Collaborate with cross-functional teams including engineering product and business units to understand data needs and deliver robust solutions.
Perform exploratory data analysis (EDA) to uncover trends anomalies and opportunities for deeper investigation.
Ensure data quality and integrity through rigorous validation and data governance practices.
Develop scripts and tools using languages like Python or R to automate workflows and conduct advanced data analyses.
Support data infrastructure improvements and contribute to the overall data architecture and design.
Document processes data models and pipelines for internal knowledge sharing and future reference.
Requirements
Requirements:
Proficiency in SQL with the ability to write efficient optimized queries for complex datasets.
Strong analytical skills with experience working with large-scale data environments (e.g. data warehouses relational databases).
Programming experience in Python R or another data-focused language.
Familiarity with ETL tools and frameworks (e.g. Airflow dbt Apache NiFi).
Experience with BI platforms such as Tableau Power BI Looker or similar.
Solid understanding of data modeling data warehousing concepts and database design.
Experience working with cloud-based data platforms (e.g. AWS Redshift Google BigQuery Snowflake).
Strong problem-solving abilities and attention to detail.
Excellent communication skills with the ability to translate technical findings into business insights.
Bachelors degree in Computer Science Data Science Statistics Engineering or a related field (or equivalent work experience).
Employment Type
Full Time
