Sr. Data Engineer

Krish TechnoLabs; Gujarat; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Krish TechnoLabs in Gujarat is seeking a Senior Data Engineer to architect and build enterprise-level data platforms. The role requires leading a team, mentoring engineers, and driving the strategic vision for data infrastructure.

Ideal candidates will have 5-10 years of experience in data engineering, a deep knowledge of big data technologies, and proven proficiency in SQL and programming languages. Join us to foster innovation and technical excellence.

Qualifications

• 5 - 10 years of experience in data engineering with large-scale data solutions.
• Expert-level proficiency in SQL and at least one programming language (Python, Scala, or Java).
• Deep knowledge of big data technologies like Spark, Kafka, and distributed systems.

Responsibilities

• Design and architect complex, scalable, and reliable data pipelines and data warehouses.
• Lead the development and maintenance of ETL/ELT processes for high-volume data.
• Mentor and guide a team of data engineers fostering technical excellence.

Skills

SQL

Python

Spark

Kafka

Data Engineering

Tools

AWS

Azure

GCP

Snowflake

BigQuery

Redshift

Job description

The Senior Data Engineer is a key technical leader responsible for architecting and building large-scale, enterprise-level data platforms. You will mentor junior engineers, define best practices, and drive the strategic vision for our data infrastructure.

What You’ll Be Doing

• Design and architect complex, scalable, and reliable data pipelines and data warehouses.
• Lead the development and maintenance of ETL/ELT processes for high-volume, real-time, and batch data.
• Spearhead the adoption of new technologies and methodologies to improve data platform efficiency and performance.
• Mentor and guide a team of data engineers, fostering a culture of technical excellence and innovation.
• Collaborate closely with data scientists, analysts, and business stakeholders to define data strategy and requirements.

What We’d Love To See

• 5 - 10 years of experience in data engineering, with a proven track record of designing and implementing large-scale data solutions.
• Expert-level proficiency in SQL and at least one programming language (Python, Scala, or Java).
• Deep knowledge of big data technologies like Spark, Kafka, and distributed systems.
• Extensive experience with cloud data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, BigQuery, Redshift).
• Demonstrated experience in leading projects and mentoring junior team members.
• Experience with stream processing frameworks like Flink or Spark Streaming.
• Familiarity with DevOps, MLOps, and CI/CD best practices for data platforms.