Data Engineer-Digital Services

KK Group; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Competitive salary

Career growth opportunities

Inclusive work environment

Job summary

KK Group seeks an experienced Data Engineer to design, build, and maintain scalable data platforms powering analytics, AI/ML models, and customer-facing digital services.

You will craft robust ETL/ELT pipelines, model data for lakehouse/warehouse architectures, and collaborate with data scientists, cloud engineers, and product teams to ensure high-quality data flows.

Qualifications

• 10+ years of experience in Data Engineering or related roles.
• Strong programming skills in Python, SQL; Scala/Java a plus.
• Hands-on with Spark, Flink, or Kafka.
• Experience with time-series data platforms and large-scale data systems.
• Solid understanding of ETL/ELT design patterns and scalable architectures.
• Experience with data modeling, data warehousing, or lakehouse concepts.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines for varied data types across batch and real-time environments.
• Develop scalable data models and contribute to lakehouse/warehouse architectures to support analytics and AI/ML.

Skills

Python

SQL

Spark

Flink

Kafka

Time-series

ETL/ELT design

Data modeling

Data warehousing

Problem solving

Education

BE/BTech in CS/IT/Electronics

Tools

PostgreSQL

ClickHouse

InfluxDB

Job description

Job overview/Purpose of the Position:

We are looking to hire a highly skilled and experienced Data Engineer to design, build, and maintain scalable data platforms supporting digital systems, analytics, and intelligent applications. This role focuses on developing robust data pipelines capable of handling structured, semi-structured, unstructured, and time-series data across distributed environments.

The Data Engineer will work closely with data scientists, cloud engineers, and product teams to ensure reliable, high-quality data flows that power analytics, AI/ML models, dashboards, and customer-facing digital services.

Area of responsibilities:

• Design and maintain scalable ETL/ELT pipelines for structured, semi-structured, unstructured, and time-series data. Build automated workflows for data ingestion, transformation, and delivery across batch and real-time environments.
• Develop scalable data models and contribute to data lake, lakehouse, and warehouse architecture to support analytics, AI/ML, and digital product needs.

Data Platforms & Technologies:

• Implement solutions using modern data tools and frameworks such as Kafka, Spark, Flink, PostgreSQL, ClickHouse, Influx DB, or similar technologies.

Data Quality, Observability & Reliability:

• Establish validation, lineage tracking, monitoring, and alerting to ensure data quality, reliability, and performance.

API Integration & Data Connectivity:

• Build and maintain secure APIs and integrations to enable seamless data exchange across internal and external systems.

Security, Compliance & Lifecycle:

• Apply secure-by-design practices and support data governance, regulatory compliance, and lifecycle management.

Cross-Functional Collaboration:

• Work closely with Data Scientists, ML Engineers, Cloud Engineers, and Product Owners to deliver scalable data solutions.

Competencies (e.g. technical skills):

Must Have Skills & Experience:

• 5+ years of experience in Data Engineering or related roles.
• Strong programming skills in Python, SQL, or similar languages (Scala/Java is a plus).
• Hands-on experience with distributed data processing frameworks such as Spark, Flink, or Kafka.
• Experience working with time-series data platforms and large-scale data systems.
• Solid understanding of ETL/ELT design patterns and scalable data architectures.
• Experience with data modeling, data warehousing, or lakehouse concepts.
• Strong analytical and problem-solving skills.

Good to Have Skills & Experience:

• Experience with cloud data platforms or containerized environments.
• Exposure to real-time streaming architectures or event-driven systems.
• Familiarity with AI/ML data pipelines or feature engineering workflows.
• Knowledge of monitoring, observability, and data governance practices.
• Experience working with industrial, IoT, or digital monitoring platforms. analysis tools.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and cross-functional collaboration skills.
• Proactive attitude and ability to work independently or in a team.
• Strong documentation and presentation skills.

Business Impact:

• Enables reliable, scalable data delivery for analytics and digital products.
• Supports faster development of data-driven services and intelligent solutions.
• Improves operational efficiency through high-quality data engineering practices.

Additional information:

What We Offer:

• A challenging and rewarding role in a pioneering company dedicated to renewable energy.
• Opportunities for professional growth and career advancement.
• A collaborative and inclusive work environment.
• Competitive salary and comprehensive benefits package.

Educational Qualification Required:

B.E/B. Tech in Computer Science, Data Engineering, IT, Electronics or equivalent.

Relevant Experience Required:

10+ years.

Breadth of the Role:

Global.

About KK Group :

Building on more than 40 years of experience, KK Group is a leading systems supplier to the renewable energy industry. Our capabilities span developing state-of-the-art technologies, high-quality lean manufacturing, and flexible aftermarket services. KK Group is owned by A.P. Moller Holding, the parent company of the A.P. Moller Group, established in 1904 by Arnold Peter Moller. We are a global and diverse team of over 3,700 people, working towards delivering products and services that enable a future powered by renewable energy.

At KK Group, our culture and DNA are built on a foundation of can-do attitude and innovation. We actively foster an inclusive work environment that embraces diversity, rejects any form of discrimination, and provides equal opportunities for all people. Our commitment lies in cultivating a strong culture centred around health, safety, wellbeing, and effective teamwork.

Why Us ?

No matter your role, you will find yourself immersed in our strategy. At KK, all employees are encouraged to contribute their ideas – we want everyone to feel involved and heard. Our flat hierarchies allow us to make swift decisions and exchange ideas in an open, honest atmosphere where we help each other succeed. What is more, you will be collaborating across several functions and you will experience a distinct team spirit as you work with international colleagues from all over the world.