Senior Data Engineer
2 weeks ago
Details:
Role: Data Engineer
Experience: 5-10 Years
Notice Period: Immediate
Mode of Interview: Virtual
Location: Remote
We are looking for a skilled Data Engineer with a focus on data warehousing,
Looker development, and strong analytical skills to join our Analytics team. This
role is pivotal in managing, enhancing, and optimizing our data infrastructure to
support business intelligence and analytics needs. The ideal candidate will have a
strong technical foundation in data engineering, experience with Looker, and an
analytical mindset to help deliver data-driven insights that drive strategic business
decisions.
Key Responsibilities
Design, Develop, and Maintain Data Warehouses:
- Build, manage, and optimize data warehouse architecture (e.g.,
Snowflake, Redshift, BigQuery) to support scalable analytics and
reporting.
- Develop ETL/ELT processes to ensure seamless data integration from
multiple sources into data warehouses.
Looker Development and Reporting:
- Create, develop, and maintain Looker dashboards and reports for
various departments, ensuring they are accurate, efficient, and user-
friendly.
- Build LookML models and explore best practices to create robust,
reusable data models for self-service analytics.
Data Transformation and Analysis:
- Use SQL and other data manipulation tools to clean, transform, and
analyze data to produce actionable insights.
- Work closely with stakeholders to understand their data requirements
and translate them into effective reporting solutions.
Collaborate with Cross-Functional Teams:
- Partner with Data Analysts, Product Managers, and other stakeholders
to understand data needs and design solutions that support their
analytical requirements.
- Facilitate data-driven decision-making by delivering relevant, insightful
analysis and reports.
Data Quality and Governance:
- Ensure data accuracy, consistency, and security by implementing data
governance and quality best practices.
- Conduct regular data audits and establish processes to monitor data
integrity across the pipeline.
Optimize Performance and Scalability:
- Identify and address bottlenecks in data pipelines and databases, and
optimize them for faster performance.
- Continuously improve ETL/ELT processes for efficiency and reliability.
Required Skills and Qualifications
- Bachelor’s degree in Computer Science, Data Engineering or a related field.
- 5+ years of experience as a Data Engineer or in a similar data-centric role.
- Data Warehousing Experience: Strong experience with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and designing scalable, efficient data warehouses.
- SQL Expertise: Proficiency in SQL for data manipulation, transformation, and analysis.
- Looker Development: Hands-on experience developing in Looker, including LookML modeling, dashboard creation, and performance optimization.
- Data Pipelines & ETL/ELT Processes: Proficiency in building, maintaining, and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, or similar.
- Analytical Skills: Ability to understand and analyze complex data sets, generate insights, and present data in a clear, actionable manner.
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