Lead Data Engineer

Terasol Technologies Pvt. Ltd.; India; Remote; INR 2,500,000 - 4,000,000; Full time

Job summary

Terasol Technologies Pvt. Ltd. is seeking an experienced data engineering leader to own the architecture and roadmap for scalable, secure data pipelines and platforms.

You will mentor a team of engineers, establish standards, and drive modernization across ETL/ELT workflows and ML-enabled analytics. Responsibilities include partnering with product and business teams, ensuring data quality and governance, and advancing CI/CD, orchestration, and cloud-based data architectures.

Qualifications

• Bachelor's degree in Engineering, CS, or related field.
• 8+ years of data engineering experience.
• 5+ years with Apache Spark.
• Strong understanding of Big Data and distributed systems.
• Ability to design and optimize scalable data architectures.
• Proficient in Scala and Python.
• Advanced SQL with Postgres and/or MySQL.
• Experience with DataBricks cloud platform.
• Knowledge of Delta Lake and data formats (Parquet/JSON/CSV).
• CI/CD for data pipelines, orchestration, metadata management.
• Agile environment experience.
• English communication skills.
• Experience collaborating with cross-functional teams.

Responsibilities

• Own the architecture and roadmap for scalable, secure data pipelines and platforms.
• Lead and mentor a team of data engineers with governance and standards.
• Design and implement high-performance ETL/ELT pipelines for diverse data sources.
• Drive modernization including re-architecting legacy systems for data products and ML workloads.
• Partner with Product, Engineering, and Business teams to translate requirements into robust solutions.
• Champion data quality, observability, and metadata management across the ecosystem.
• Lead initiatives to improve cost efficiency, data delivery SLAs, automation, and scalability.
• Provide technical leadership on data modeling, orchestration, CI/CD for data workflows, and cloud improvements.

Skills

Spark

Python

Scala

SQL

Data modeling

CI/CD

Cloud architectures

Team leadership

English communication

Distributed systems

Machine Learning (plus)

Agile

Education

Bachelor's degree in Engineering/CS

Tools

Apache Spark

DataBricks

Delta Lake

Parquet/JSON/CSV

Job description

What You’ll Be Doing:

• Own the architecture and roadmap for scalable, secure, and high-quality data pipelines and platforms.
• Lead and mentor a team of data engineers while establishing engineering best practices, coding standards, and governance models.
• Design and implement high-performance ETL/ELT pipelines using modern Big Data technologies for diverse internal and external data sources.
• Drive modernization initiatives including re-architecting legacy systems to support next-generation data products, ML workloads, and analytics use cases.
• Partner with Product, Engineering, and Business teams to translate requirements into robust technical solutions that align with organizational priorities.
• Champion data quality, monitoring, metadata management, and observability across the ecosystem.
• Lead initiatives to improve cost efficiency, data delivery SLAs, automation, and infrastructure scalability.
• Provide technical leadership on data modeling, orchestration, CI/CD for data workflows, and cloud-based architecture improvements.

Qualifications:

• Bachelor's degree in Engineering, Computer Science, or relevant field.
• 8+ years of relevant and recent experience in a Data Engineer role.
• 5+ years recent experience with Apache Spark and solid understanding of the fundamentals.
• Deep understanding of Big Data concepts and distributed systems.
• Demonstrated ability to design, review, and optimize scalable data architectures across ingestion.
• Strong coding skills with Scala, Python and the ability to quickly switch between them with ease.
• Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.
• Cloud Experience with DataBricks.
• Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats.
• Experience establishing and enforcing data engineering best practices, including CI/CD for data, orchestration and automation, and metadata management.
• Comfortable working in an Agile environment
• Machine Learning knowledge is a plus.
• Demonstrated ability to operate independently, take ownership of deliverables, and lead technical decisions.
• Excellent written and verbal communication skills in English.
• Experience supporting and working with cross-functional teams in a dynamic environment.

REPORTING

This position will report to Sr. Technical Manager or Director of Engineering as assigned by Management.

EMPLOYMENT TYPE:

Full-Time, Permanent

SHIFT TIMINGS

10:00 AM - 07:00 PM IST