Data Engineer - PySpark

Tekskills Inc.; Dadri; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tekskills Inc. seeks a data engineering professional with deep Apache Spark (batch and streaming) and Hive expertise. The candidate should be proficient in Python, Scala, or Java and familiar with Airflow or Control-M for orchestration, DBT for SQL transformations, and Kafka/Solace integrations with S3 or MinIO object stores.

Hands-on deployment experience with Docker/Kubernetes and lakehouse formats such as Iceberg, Delta Lake, and Hudi is required, to support scalable data pipelines.

Qualifications

• Strong expertise in Apache Spark (batch + streaming) and Hive.
• Proficiency in Python, Scala, or Java.
• Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred).
• Experience working with Kafka, Solace, and object stores (S3, MinIO).
• Exposure to Docker/Kubernetes for deployment.
• Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi).

Responsibilities

• Strong expertise in Apache Spark (batch + streaming) and Hive.
• Proficiency in Python, Scala, or Java.
• Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred).
• Experience working with Kafka, Solace, and object stores (S3, MinIO).
• Exposure to Docker/Kubernetes for deployment.
• Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi).

Skills

Apache Spark

Hive

Python

Scala

Java

Airflow

Control-M

DBT

Kafka

Solace

Docker

Kubernetes

Iceberg

Delta Lake

Hudi

Tools

S3

MinIO

Docker

Kubernetes

Job description

Job Summary

Role & responsibilities Strong expertise in Apache Spark (batch + streaming) and Hive. Proficiency in Python, Scala, or Java. Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred). Experience working with Kafka, Solace, and object stores (S3, MinIO). Exposure to Docker/Kubernetes for deployment. Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi).

Responsibilities

• Strong expertise in Apache Spark (batch + streaming) and Hive.
• Proficiency in Python, Scala, or Java.
• Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred).
• Experience working with Kafka, Solace, and object stores (S3, MinIO).
• Exposure to Docker/Kubernetes for deployment.
• Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi).