Interesting Job Opportunity: QX Impact - Senior Data Engineer

QX Impact; Tirupati; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

QX Impact in India is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines supporting analytics, data science, and BI.

You will collaborate with data scientists and engineers, optimize ETL processes, and ensure reliable data flows from data lakes to warehouses, with cloud infrastructure on AWS or Azure.

The role requires 5+ years with enterprise data platforms, strong SQL, Spark, and experience with orchestration tools; join a collaborative, agile team.

Qualifications

• Bachelor's degree in CS, Math, Engineering, or related field.
• 5+ years building enterprise data platforms and data lakes.
• 3-5 years designing data warehouse solutions.
• Proficient in SQL with stored procedures and advanced data design.
• Proficient in Spark (Python/Scala) and Spark Streaming.
• Experience with AWS or Azure services (Glue, Data Factory, Redshift, Snowflake).
• Familiar with Kafka, Spark, Flink; orchestration with Airflow or Prefect.
• CI/CD, Git, Jenkins, and deployment automation.
• Strong problem-solving, communication, and collaboration skills.

Responsibilities

• Design, develop, test, and maintain data pipelines and ETL architectures.
• Map data systems and define integrations, ETL, BI, and AI processes.
• Prepare and optimize data for predictive and prescriptive modeling.
• Integrate ERP data into the enterprise data lake with quality controls.
• Enhance cloud data infrastructure on AWS or Azure for scalability.
• Use big data tools to optimize data acquisition and preparation.
• Move data to/from data lakes and warehouses for advanced analytics.
• Develop data models for analytics, dashboards, and reports.
• Conduct code reviews and maintain production-grade code.
• Monitor and troubleshoot data ingestion workflows for reliability.
• Drive innovation and implement efficient new data engineering approaches.

Skills

Data pipelines

ETL design

SQL

Spark

Spark Streaming

Python/Scala

Analytics collaboration

Problem solving

Communication

Cloud platforms

Education

Bachelor's degree in CS/Math/Engineering

Tools

AWS Glue

Azure Data Factory

Redshift

Snowflake

Apache Kafka

Apache Airflow

Prefect

Git

Jenkins

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. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them. Secondly, without insights businesses won't be able to deliver differentiated products/services; and finally, without insights, businesses cant achieve a new level of Operational Excellence is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

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. As a Senior Data Engineer, you will work with internal and external data, collaborate with data scientists, and contribute to the design, development, and deployment of innovative 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).

Competencies

• Tech Savvy : Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development : Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented : Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus : Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes : Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

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.