QX Impact - Senior Data Engineer

QX Impact; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Competitive salary

Professional growth

Collaborative team

Job summary

QX Impact in Chennai is seeking a Senior Data Engineer to design and maintain robust data pipelines that support advanced analytics, data science, and BI solutions.

You will collaborate with data scientists, engineers, and UX developers in an agile team, build and optimize ETL architectures, integrate ERP data into the enterprise data lake, and enhance cloud infrastructure on AWS or Azure for scalability and performance.

Qualifications

• Bachelor’s degree in CS/Engineering/Math or related field.
• 5+ years building enterprise data platforms and data lakes.
• 3–5 years designing data warehouse solutions.
• Strong SQL skills with stored procedures.
• Proficient in Spark (Python/Scala) and Spark Streaming.

Responsibilities

• Design, develop, test, and maintain data pipelines and ETL architectures.
• Map data systems and define required integrations, ETL, BI, and AI processes.
• Prepare and optimize data for modeling (predictive/prescriptive).
• Integrate ERP data into the enterprise data lake for seamless flow and quality.
• Enhance cloud data infrastructure (AWS or Azure) for scalability and performance.

Skills

Problem solving

Communication

Collaboration

Education

Bachelors degree in Computer Science/Engineering/Math

Tools

SQL

Spark

AWS

Azure

Kafka

Flink

Airflow

Prefect

Git

Jenkins

Redshift

Snowflake

Job description

About Us

The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation.

About Us

The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation.

Job Summary

We are looking for a Senior Data Engineer who is creative, collaborative, and adaptable to join our agile team of data scientists, engineers, and UX developers. The role focuses on building and maintaining robust data pipelines to support advanced analytics, data science, and BI solutions.

Key Responsibilities

• Design, develop, test, and maintain optimal data pipeline and ETL architectures.
• Map out data systems and define/design required integrations, ETL, BI, and AI systems/processes.
• Prepare and optimize data for predictive and prescriptive modeling.
• Collaborate with teams to integrate ERP data into the enterprise data lake, ensuring seamless flow and quality.
• Enhance cloud data infrastructure on AWS or Azure for scalability and performance.
• Utilize big data tools and frameworks to optimize data acquisition and preparation.
• Build architectures to move data to/from data lakes and data warehouses for advanced analytics.
• Develop and curate data models for analytics, dashboards, and reports.
• Conduct code reviews, maintain production-level code, and implement testing approaches.
• Monitor, troubleshoot, and resolve data ingestion workflows to maintain reliability and uptime.
• Drive innovation and implement efficient new approaches to data engineering tasks.

Must-Have Skills

• Bachelors degree in Computer Science, Mathematics, Engineering, or a related field.
• 5+ years of experience working with enterprise data platforms, including building and managing data lakes.
• 3 - 5 years of experience designing and implementing data warehouse solutions.
• Expertise in SQL, including developing stored procedures (SP) and applying advanced data design concepts.
• Proficiency in Spark (Python/Scala) and Spark Streaming for real-time data pipelines.
• Experience with AWS or Azure services (e.g., AWS Glue, Azure Data Factory, Redshift, Snowflake).
• Familiarity with big data tools such as Apache Kafka, Apache Spark, or Flink.
• Hands-on experience with orchestration tools (e.g., Apache Airflow, Prefect).
• Knowledge of CI/CD processes, version control (e.g., Git, Jenkins), and deployment automation.
• Strong problem-solving, communication, and collaboration skills.

Good-to-Have Skills

• Experience in integrating ERP data into data lakes.
• Experience with traditional ETL tools (e.g., Talend, Pentaho).

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.