ZR_240_Senior Data Engineer

Priority IDC Private Limited; India; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

5 Days Working

One Complimentary Meal per Day

Internet Reimbursement

Gym Reimbursement

Group Medical Insurance

Mental Health support benefits

Relocation Assistance (if Applicable)

Job summary

Priority IDC Private Limited in India is seeking a Senior Data Engineer to own scalable data pipelines and platform components supporting reporting, analytics, and operations.

You will lead complex data initiatives, mentor engineers, and collaborate with analytics and QA teams to ensure data quality, reliability, and production readiness.

Qualifications include 5–8 years of data engineering experience, strong SQL, Python/Java, and hands-on with Snowflake, Databricks, Redshift, or BigQuery.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5–8 years of experience in data engineering or related field.
• Strong SQL and programming skills (Python/Java).
• Experience with data modeling, ETL/ELT, and orchestration.
• Production-grade data pipelines, reliability and observability focus.
• Experience with Snowflake/Databricks/Redshift/BigQuery.
• Strong analytical, problem-solving, and communication skills.
• Ability to lead complex initiatives and mentor others.

Responsibilities

• Design and own scalable data pipelines and platform components.
• Lead development and delivery of complex data engineering initiatives.
• Improve data quality, observability, and operational readiness.
• Design maintainable data models and processing logic aligned to business needs.
• Resolve ambiguous problems with limited oversight.
• Identify performance bottlenecks across queries and workflows.
• Mentor junior engineers through design guidance and reviews.
• Collaborate with Analytics Engineers, QA, stakeholders, and leadership.
• Contribute to engineering standards and continuous improvement.
• Ensure solutions are well-documented and production-ready.

Skills

SQL

Python/Java

Data modeling

ETL/ELT

Data quality

Observability

Performance optimization

Leadership

Communication

Cloud data platforms

Education

Bachelor's degree in Computer Science/Information Systems/Engineering/Data Science or related field

Tools

Snowflake

Databricks

Redshift

BigQuery

Airflow

Dagster

Pyspark

EMR

Job description

Job Description:

Role Summary

The Senior Data Engineer designs and owns scalable data pipelines and platform solutions that support reporting, analytics, and operational processes. This role leads delivery for complex initiatives, improves data quality and reliability, works independently through ambiguity, and mentors junior engineers while partnering closely with stakeholders.

Experience

5 to 8 years of experience

Core Skills

• Strong expertise in data querying, coding, data modeling, orchestration, and performance optimization
• Deep understanding of ETL/ELT processes, data warehousing, and scalable data architecture
• Experience designing reliable and maintainable data pipelines for reporting, analytics, and operational use cases
• Strong understanding of data quality, observability, troubleshooting, and production support
• Ability to balance technical decisions across scalability, reliability, maintainability, and cost efficiency
• Strong communication and cross-functional collaboration skills

Key Responsibilities

• Design and own scalable data pipelines and related platform components
• Lead development and delivery of complex data engineering initiatives from design through production
• Improve data quality, reliability, observability, and operational readiness across owned systems
• Design and implement maintainable data models and processing logic aligned to business needs
• Resolve ambiguous technical problems with sound judgment and limited oversight
• Identify and address performance bottlenecks across queries, pipelines, and processing workflows
• Mentor junior engineers through design guidance, code reviews, and knowledge sharing
• Partner closely with Analytics Engineers, QA Engineers, stakeholders, and leadership on priorities, tradeoffs, and delivery planning
• Contribute to engineering standards, best practices, and continuous improvement across the team
• Ensure solutions are well-documented, supportable, and production-ready

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or equivalent practical experience
• 5 ~ 8 years of experience in data engineering, software engineering, analytics engineering, or a related technical field
• Strong expertise in SQL or other data querying technologies
• Strong coding proficiency in Python, Java, or similar programming languages
• Experience with data modeling, ETL/ELT, and workflow orchestration
• Experience designing and supporting production-grade data pipelines and workflows
• Strong understanding of performance optimization, data quality, and operational reliability
• Demonstrated ability to lead technically complex initiatives
• Strong analytical, problem-solving, and troubleshooting skillsStrong written and verbal communication skills
• Experience with cloud data platforms such as Snowflake, Databricks, Redshift, or BigQuery
• Familiarity with distributed data processing frameworks and large-scale datasets (Pyspark, EMR)

Preferred Qualifications

• Experience with orchestration and workflow platforms such as Airflow, Dagster, or similar tools
• Experience with CI/CD, infrastructure automation, and deployment workflows
• Experience implementing monitoring, alerting, and observability practices for data platforms
• Experience mentoring engineers and contributing to team standards and technical direction
• Exposure to analytics, reporting, business intelligence, or cross-functional data product environments

Benefits

• 5 Days Working
• One Complimentary Meal per Day
• Internet Reimbursement
• Gym Reimbursement
• Group Medical Insurance
• Mental Health support benefits
• Relocation Assistance (if Applicable)

Requirements: