Data Analytics Engineer

CleverInsight Private Limited; Snowflake (AZ); On-site; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a Data Analytics Engineer to bridge the gap between data engineering and analytics. In this pivotal role, you will design and maintain data pipelines, ensuring data accuracy while generating actionable insights that drive business decisions. Your expertise with tools like Snowflake and Apache Airflow will be crucial as you collaborate with cross-functional teams to implement data-driven strategies. This position offers an exciting opportunity to make a significant impact in a dynamic environment focused on innovation and excellence.

Qualifications

• Experience in data engineering and analytics roles is essential.
• Proficient in Python scripting and SQL for data processing.

Responsibilities

• Design and maintain efficient data pipelines for ETL processes.
• Collaborate with analysts to deliver actionable insights.

Skills

Python Scripting

SQL

Data Analysis

Data Visualization

Problem Solving

Collaboration

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Tools

Apache Airflow

Snowflake

Tableau

Power BI

Looker

Job description

Position Overview:

As a Data Analytics Engineer, you will operate at the intersection of data engineering and analytics, contributing to both the development of scalable data infrastructure and the generation of actionable insights. This role involves building and maintaining data pipelines, ensuring data accuracy, and supporting business decision-making through data analysis and visualization. You will collaborate closely with analysts, product teams, and other stakeholders to enable data-driven strategies and initiatives.

Key Responsibilities:

Data Pipeline Development: Design, build, and maintain efficient data pipelines for extracting, transforming, and loading (ETL) data.

Analytics Support: Collaborate with analysts to deliver actionable insights through reports, dashboards, and ad hoc analyses.

REST API Integration: Develop and manage REST API integrations to ensure seamless data flow between systems.

Workflow Orchestration: Use Apache Airflow to manage and automate workflows and tasks.

Python Scripting: Write Python scripts for data processing, automation, and analytics.

Snowflake Expertise: Leverage Snowflake to manage and optimize data pipelines and provide datasets for analysis.

Data Visualization: Assist in creating dashboards and visualizations using tools like Tableau, Power BI, or Looker.

Data Quality Assurance: Ensure the accuracy and integrity of data through validations and error-handling mechanisms.

Optimization: Continuously optimize data pipelines and workflows for performance and scalability.

Collaboration: Work closely with cross-functional teams, including product managers and stakeholders, to address data requirements and provide analytics solutions.

Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field.

• Experience in both data engineering and analytics roles.
• Proficiency in Python scripting and SQL.
• Hands-on experience with Apache Airflow and Snowflake.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong problem-solving and communication skills.
• Ability to work collaboratively in cross-functional teams.
• Willingness to relocate to Nilgiris.