Associate Data Engineer

Posted about 9 hours agoViewed

💎 Seniority level: Junior, 1+ years

📍 Location: USA

🔍 Industry: Digital Media Agency

⏳ Experience: 1+ years

🪄 Skills: AWSPythonSQLData AnalysisETLGitData engineeringPandas

1+ years of experience in a data engineering or related role.
Strong SQL skills, including the ability to write complex queries using JOINs and aggregate functions.
Proficiency in Python and data manipulation libraries such as Pandas.
Experience with data validation techniques and tools.
Familiarity with AWS cloud services, particularly S3 and Lambda.
Experience with Git for code version control.
Detail-oriented with a focus on data accuracy and quality.
Organized with a systematic approach to managing data workflows.
Comfortable working in an ambiguous environment and able to independently drive projects forward.
Nimble and able to adapt to changing priorities.

Design, develop, and maintain ETL pipelines to ingest and transform data from various sources.
Implement data validation processes to ensure data accuracy and consistency throughout the data lifecycle, using tools like Regex.
Write and optimize SQL queries for data extraction, aggregation, and analysis.
Develop and maintain Python scripts and Pandas dataframes for data manipulation and analysis.
Utilize AWS Lambda functions to automate data processing tasks.
Manage code using Git for version control and collaborative development.
Collaborate with data analysts, media strategists, and other stakeholders to understand their data requirements and provide solutions.
Communicate technical concepts to non-technical stakeholders and translate business needs into technical specifications.
Troubleshoot and resolve data-related issues, identifying areas for improvement and efficiency gains.
Document data processes, pipelines, and transformations for knowledge sharing and maintainability.
Work with vendors to ensure seamless data integration and resolve any data delivery issues.
Apply critical thinking skills to analyze complex data problems and develop innovative solutions.

Posted 9 days ago

📍 United States

💸 65000.0 - 100000.0 USD per year

🔍 Data Analytics

🔧 Requirements

1-3 years of work experience in a data analytics or data engineering role.
Advanced proficiency with Python and SQL.
Previously worked within a consulting/professional services environment (preferred)
Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
Ability to explain technical concepts to non-technical people.
Experience with data warehousing and using Snowflake.
Experience with the AWS or Google Cloud ecosystem (e.g. BigQuery, Redshift).
Worked with or for Media & Entertainment or Telecom companies (preferred).
Bachelor's or Master’s degree in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).

💡 Responsibilities

Implement data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
Develop data models around stated use cases to capture clients' KPIs, data transformations, and data requirements; validation and testing of data models.
Support, maintain, and document clients’ data environments.
Contribute to and collaborate on project deliverables, either independently or as part of a larger consulting team.
Work within a project management framework (i.e., Agile) to meet objectives, understand scope, and impact of your work across an organization.
Guide clients on optimizing their data environment to operate most effectively and efficiently for them. Clarify management objectives through data solutions.
Work with the Sales and Marketing teams to develop Thought Leadership and workable POCs and support our sellers by talking to clients about DAS42’s go-to-market capabilities.

AWSPythonSQLBusiness IntelligenceCloud ComputingETLGCPSnowflakeData engineeringREST APIData visualizationData modeling

Posted 9 days ago

Posted about 1 month ago

📍 United States

💸 95000.0 - 110000.0 USD per year

🔍 Hair wellness

🔧 Requirements

2-3 years of experience in a relevant Data & Analytics role within an eCommerce environment; DTC experience is a plus.
Familiarity with data ETL process and data transfer capabilities as well as database design.
Experience with Data Management and Data Quality concepts and practices.
Strong working knowledge of SQL and pulling data out of multiple systems.
Experience in Snowflake or other similar data warehouse technology.
Experience with DBT (strongly preferred) and/or other programming languages.
Experience in Data Visualization & related BI Tools (Tableau, Power BI) preferred.
Ability to contribute meaningfully to stakeholder conversations.
Strong analytical and problem-solving skills.

💡 Responsibilities

Transform business requirements into thoughtful technical solutions around schema design and database object development that support data integration across multiple sourcing paths.
Assist with the development of new data schemas to support a robust data ETL process for various projects like ad hoc analysis and data visualization.
Monitor and maintain data quality and define/implement corrective actions when required.
Support troubleshooting potential bugs within the database.
Develop procedures to document key processes and queries.

SQLETLSnowflakeTableauData management

Posted about 1 month ago