Senior Data Engineer

Aspire Talent Innovations; Chandigarh; On-site; INR 2,400,000 - 4,000,000; Full time

Benefits offered by this job

Lead a high-impact data engineering 팀

Modern data stack and cloud tech

Collaborative culture

Influence product evolution

AI skill development support

Job summary

Aspire Talent Innovations seeks an experienced Senior Data Engineer to lead the design, deployment, and optimization of our modern data platform for a next‑generation CRM product. You will architect robust pipelines, champion data quality, and work with customers, QA, and DevOps to deliver scalable AI‑powered solutions.

Lead a 4-person team, mentor engineers, and drive ETL/ELT workflows with Spark, Airflow, and Databricks.

Qualifications

• 5+ years' data engineering experience with recent team leadership.
• Bachelor's degree in Computer Science Engineering or related field.
• Proven ETL/ELT development using Spark and Airflow.
• Strong data modeling with PostgreSQL and MongoDB.
• Ability to mentor technical teams and communicate with stakeholders.
• Track record delivering reliable, scalable data solutions.
• Experience with data quality standards and best practices.

Responsibilities

• Lead and mentor a 4-person data engineering team.
• Design, deploy, and optimize ETL/ELT pipelines with Spark, Airflow, Databricks.
• Architect data models—conceptual, logical, physical—for evolving needs.
• Oversee data warehousing solutions (PostgreSQL, Redshift).
• Manage operational and OLTP data stores (MongoDB and relational DBs).
• Engage with end users to translate data challenges into solutions.
• Uphold data quality standards across all products.
• Collaborate with DevOps for deployment, monitoring, and infra optimization.
• Communicate decisions, status, risks, and trade-offs to stakeholders.

Skills

ETL/ELT Pipeline Design

Apache Spark

Apache Airflow

Data Modeling

Data Warehousing

PostgreSQL

MongoDB

Apache Flink

Relational Database Design

Stream Processing

Data Quality Management

Education

Bachelor's degree in Computer Science Engineering

Tools

Databricks

Snowflake

PostgreSQL

MongoDB

Job description

Senior Data Engineer to drive the design, deployment, and optimization of our modern data platform for a next-generation CRM product. As a technical and people leader, you will architect robust data pipelines, champion data quality, and collaborate closely with customers, QA, and DevOps to deliver scalable, AI-powered solutions. Join us to shape the future of data-driven customer engagement in a company that prizes innovation, transparency, and impact.

Key Responsibilities

• Lead and mentor a 4-person data engineering team, fostering collaboration with QA and DevOps.
• Design, deploy, and optimize robust ETL/ELT pipelines using Apache Spark, Airflow, and Databricks.
• Architect and implement conceptual, logical, and physical data models based on evolving customer requirements.
• Oversee data warehousing solutions leveraging PostgreSQL, Redshift for analytics and reporting.
• Manage operational and OLTP data stores, ensuring appropriate use of MongoDB and relational databases.
• Engage directly with end users and customers to understand data challenges and translate needs into practical solutions.
• Establish and uphold data quality standards to ensure accuracy, completeness, and trust in all data products.
• Utilize AI and ML tools responsibly to enhance productivity, scalability, and decision-making within the data platform.
• Collaborate with DevOps for seamless deployment, monitoring, and infrastructure optimization.
• Communicate clearly on technical decisions, delivery status, risks, and trade-offs to both technical and business stakeholders.

Requirements

Must have

• Minimum of 5 years'' experience in data engineering, with recent team leadership responsibilities
• Bachelors degree in Computer Science Engineering, or a related field
• Proven expertise in ETL/ELT pipeline development using Apache Spark and Airflow
• Strong skills in data modeling, relational (PostgreSQL) and NoSQL (MongoDB) databases
• Demonstrated ability to mentor and coach technical teams
• Excellent communication skills with both technical and non-technical stakeholders
• Track record of delivering reliable, scalable, and high-quality data solutions

Good to have

• Experience with customer-facing data engineering projects
• Understanding of business analysis and commercial priorities
• Relevant certifications in data engineering or cloud platforms
• Hands-on experience with modern data warehousing (Snowflake or Databricks)

Bonus

• Experience in the mortgage or financial technology sector
• Contributions to open-source data engineering projects

Skills

• Must have: ETL/ELT Pipeline Design, Apache Spark, Apache Airflow, Data Modeling, Data Warehousing, PostgreSQL, MongoDB, Apache Flink, Relational Database Design, Stream Processing, Data Quality Management
• Good to have: Business Analysis, Customer Communication, Problem-solving, Team Leadership

Benefits

• Opportunity to lead a high-impact data engineering team
• Work with modern data stack and cloud technologies
• Collaborative, business-savvy, and innovative culture
• Direct influence on product evolution and customer success
• Support for professional growth and AI skill development