Lead Data Engineer

Qtsolv; Pune District; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Qtsolv is seeking a Lead Data Engineer to drive the design and delivery of enterprise data engineering solutions for clients. The role blends hands-on engineering with technical leadership, solution design, client interaction, and team guidance.

Lead architecture and implementation of scalable data platforms and pipelines, translate requirements into data architectures, and guide production delivery using PySpark, SQL, Snowflake, Databricks, and cloud services.

Qualifications

• 9+ years of data/software engineering experience with technical lead responsibilities.
• Strong hands-on expertise in PySpark and SQL.
• Deep understanding of data architecture, ETL/ELT, data warehousing, and batch/streaming patterns.
• Experience designing large-scale production data pipelines.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Hands-on experience with Snowflake, Databricks, BigQuery, Redshift, or Synapse.
• CI/CD, testing, monitoring, observability, and production support.
• Strong client-facing communication and solutioning skills.

Responsibilities

• Lead the architecture, design, and implementation of scalable data platforms and pipelines.
• Translate client and business requirements into data architecture and technical solutions.
• Design batch, streaming, warehouse, data lake, and Lakehouse solutions.
• Guide implementation using PySpark, SQL, Snowflake, Databricks, and cloud-native data services.
• Define engineering standards for data quality, testing, CI/CD, observability, performance, and production reliability.
• Review technical designs, data models, code, and pipeline implementations.
• Lead troubleshooting of complex production, scalability, and performance issues.
• Mentor data engineers and provide technical direction to project teams.
• Participate in client workshops, solutioning, estimations, technical proposals, and implementation planning.

Skills

PySpark

SQL

Data architecture

ETL/ELT

Data warehousing

CI/CD

Observability

Cloud platforms

Production support

Client communication

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

We are looking for a Lead Data Engineer to drive thedesign and delivery of enterprise data engineering solutions

for clients. The role combines strong hands-onengineering with technical leadership, solution design, client

interaction, and team guidance.

Key Responsibilities-

• Lead the architecture, design, and implementation ofscalable data platforms and pipelines.
• Translate client and business requirements into dataarchitecture and technical solutions.
• Design batch, streaming, warehouse, data lake, andLakehouse solutions.
• Guide implementation using PySpark, SQL, Snowflake,Databricks, and cloud-native data services as appropriate.
• Define engineering standards for data quality, testing,CI/CD, observability, performance, and production reliability.
• Review technical designs, data models, code, andpipeline implementations.
• Lead troubleshooting of complex production,scalability, and performance issues.
• Mentor data engineers and provide technical directionto project teams.
• Participate in client workshops, solutioning,estimations, technical proposals, and implementation planning.

Mandatory Skills -

• 9+ years of data/software engineering experience withtechnical lead responsibilities.
• Strong hands-on expertise in PySpark and SQL.
• Strong understanding of data architecture, ETL/ELT,data modelling, data warehousing, distributed processing, and
• batch/streaming patterns.
• Experience designing and delivering large-scaleproduction data pipelines.
• Strong experience with at least one major cloudplatform - AWS, Azure, or GCP.
• Hands-on experience with modern data platforms, withdepth in at least one of Snowflake, Databricks, BigQuery,
• Redshift, Synapse, or equivalent.
• Experience with CI/CD, testing, monitoring,observability, and production support.
• Strong client-facing communication and technicalsolutioning skills.

Preferred Skills -

• Strong experience with Snowflake and/or Databricks.
• Experience with Kafka, Flink, Kinesis, Event Hub,Pub/Sub, or similar streaming platforms.
• Experience with Parquet, Delta Lake, or Iceberg.
• Experience with Airflow, ADF, AWS Glue, Cloud Composer,dbt, or equivalent tooling.
• Experience with cloud migration, data modernization,governance, metadata, or lineage initiatives.
• Experience in IT services, presales, estimation, orproposal support.