Data Engineer, Tacnique, Remote Job, Data Modeling, Data Warehousing, Looker, SQL, Python, Data Stack Tools, Data Governance, Data Quality Assurance
Join Tacnique as a remote data engineer in India, specializing in data modeling, warehousing, and visualization using tools like Looker. This full-time position requires expertise in SQL and Python for data manipulation and automation tasks. Experience with data stack tools such as dbt, Snowflake, and Airflow is essential for optimizing data pipelines and ensuring data quality. If you’re passionate about transforming raw data into actionable insights and driving business growth through data-driven decisions, apply now!
Job Description | Details |
---|---|
Company Name | Tacnique |
Post Name | Data Engineer |
Employment Type | Remote Full-time |
Job Location | India |
Experience Level | Mid-Senior level |
Number of Employees | 51-200 |
Industry | Technology, Information and Internet |
Skills | Data Analytics, Python (Programming Language), +2 more (not specified in detail) |
Posted | Reposted 1 week ago |
Applications | Over 100 applicants |
About Tacnique:
Tacnique is seeking a dedicated data engineer to drive business growth and operational efficiency through data-driven insights and solutions.
Responsibilities for the Tacnique Recruitment Drive:
- Data Modeling and Warehousing: Develop and maintain efficient data models using methodologies like Dimension modeling, Kimball, Inmon, or Data Vault.
- Semantic Layer and Self-Service Technologies: Build and maintain semantic layers and self-service technologies using Looker for non-technical users.
- SQL and Python Expertise: Utilize advanced SQL and Python skills for data manipulation, analysis, and automation tasks.
- Data Stack Tools Proficiency: Experience with tools such as dbt, Snowflake, Airflow, Fivetran, Jupyter, Hex, etc., for data pipeline orchestration, modeling, and analysis.
- Communication and Collaboration: Communicate technical concepts effectively to non-technical stakeholders and collaborate across teams to drive data initiatives.
Qualifications Tacnique Recruitment Drive:
- Knowledge of data modeling and warehousing concepts (e.g., Dimension modeling, Kimball, Inmon, Data Vault).
- Experience with building and maintaining semantic layers and self-service technologies (Looker).
- Expertise in SQL and strong proficiency in Python.
- Familiarity with data stack tools for data governance, quality assurance, and lineage tracking.
FAQs: Data Engineer Position at Tacnique
What are the primary responsibilities of the Data Engineer role at Tacnique?
The primary responsibilities include data modeling and warehousing using methodologies like Dimension modeling, Kimball, Inmon, or Data Vault. Additionally, building and maintaining semantic layers and self-service technologies for non-technical users using Looker and utilizing advanced SQL and Python skills for data manipulation, analysis, and automation tasks.
What specific skills are required for this position?
proficiency in SQL and strong proficiency in Python.
Familiarity with data stack tools such as dbt, Snowflake, Airflow, Fivetran, Jupyter, Hex, etc., for data pipeline orchestration, modeling, and analysis.
What qualifications are needed for the Data Engineer role at Tacnique?
Candidates should have knowledge of data modeling and warehousing methodologies, experience with Looker for semantic layers, expertise in SQL and Python, and familiarity with various data stack tools for governance, quality assurance, and lineage tracking.
What level of experience is required for this role?
The position is suitable for candidates at the mid-senior level.
Is this a remote or on-site position?
This is a remote, full-time position based in India.
What industry does Tacnique operate in?
Tacnique operates in the Technology, Information, and Internet industry.
How should candidates apply for the Data Engineer position at Tacnique?
Candidates can apply directly through the job posting or company website.
What are the opportunities for growth and development at Tacnique?
Tacnique offers opportunities to drive business growth and operational efficiency through data-driven insights and solutions, providing a dynamic environment for career advancement.
Are there any additional benefits or perks associated with this role?
The job description does not specify additional benefits or perks. However, working remotely provides flexibility and the opportunity to collaborate with a diverse team.
Who should apply for this position?
This role is ideal for data engineers with experience in data modeling, SQL, Python, and data stack tools looking to leverage their skills in a remote work setting within the technology industry.
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