Data Engineer - PySpark

Tekskills Inc.; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Tekskills Inc. is seeking a data engineering specialist in Hyderabad with deep expertise in Apache Spark (batch and streaming) and Hive.

The role requires hands-on Python/Scala/Java, orchestration tools such as Airflow or Control-M, and experience with DBT for SQL transformations. You will work with Kafka, Solace, and object stores (S3/MinIO), deploying via Docker/Kubernetes and leveraging data lakehouse formats like Iceberg, Delta Lake, and Hudi.

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).

Tools

Apache Spark

Hive

Python

Scala

Java

Airflow

Control-M

DBT

Kafka

Solace

S3

MinIO

Docker

Kubernetes

Iceberg

Delta Lake

Hudi

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).