Data Engineer

Cashback24x7; India; Remote; INR 1,240,000 - 2,066,000; Part time

Job summary

Cashback24x7 is seeking a Data Engineer to design and optimize data pipelines and warehousing solutions in a remote, contractor role. You will leverage MySQL, Python, ETL, and data warehousing expertise to drive data-driven decisions and business insights.

Strong communication and remote collaboration skills are required to succeed in this position. The role emphasizes scalable ETL design, robust data modeling, and cross-functional teamwork to deliver reliable data platforms for analytics and

Qualifications

• Expert-level querying and schema design with MySQL.
• Strong Python programming for data manipulation and automation.
• Hands-on experience building production ETL pipelines.
• Knowledge of data warehousing concepts and practices.
• Excellent written and verbal communication for clear documentation.
• Ability to manage tasks in a remote, fast-paced setup.

Responsibilities

• Design, build, and maintain scalable ETL pipelines for data ingestion and transformation from multiple sources.
• Develop logical and physical data models within data warehousing environments.
• Collaborate with cross-functional teams to translate data requirements into reliable solutions.
• Monitor, troubleshoot, and optimize data infrastructure for performance and scalability.
• Ensure data accuracy, consistency, and security across platforms and solutions.
• Document processes, designs, and data flows with clarity.

Skills

MySQL

Python

ETL

Data Warehousing

Communication

Remote work

Tools

AWS Redshift

Snowflake

Google BigQuery

Job description

Job Title: Data Engineer

Job Type: Contractor

Location: Remote

Job Summary:Join our customer's team as a Data Engineer and play a pivotal role in designing, developing, and optimizing robust data pipelines and warehousing solutions. Utilize your expertise in MySQL, Python, ETL, and Data Warehousing to drive data-driven decision-making and enable impactful business insights. We value professionals with a passion for clear, effective communication and a commitment to excellence.

Key Responsibilities

• Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources.
• Develop and optimize logical and physical data models within modern data warehousing environments.
• Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions.
• Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability.
• Ensure data accuracy, consistency, and security across all platforms and solutions.
• Document technical processes, system designs, and data flows with clarity and precision.
• Leverage advanced SQL and Python scripting to automate data workflows and processes.

Required Skills and Qualifications

• Expert-level proficiency in MySQL for complex querying, schema design, and performance tuning.
• Strong programming skills in Python for data manipulation and automation.
• Hands-on experience building and maintaining ETL pipelines in production environments.
• Demonstrated expertise with data warehousing concepts and best practices.
• Excellent written and verbal communication skills, with a focus on clear documentation and collaborative problem-solving.
• Proven ability to manage and prioritize tasks in a dynamic, remote work setting.
• Detail-oriented mindset with a commitment to delivering high-quality data solutions.

Preferred Qualifications

• Experience with cloud-based data warehouse platforms (e.g., AWS Redshift, Snowflake, or Google BigQuery).
• Background in data modeling or data architecture.
• Familiarity with agile development methodologies.