Data Engineer - PySpark

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

Job summary

Tekskills Inc. is seeking a data engineer with deep expertise in Spark and Hive for building batch and streaming pipelines. You will work with Python/Scala/Java, orchestration tools like Airflow and DBT, and integrate Kafka, Solace, and object stores such as S3/MinIO.

Deployment familiarity with Docker/Kubernetes and experience with Lakehouse formats (Iceberg, Delta Lake, Hudi) are expected. The role emphasizes hands-on development, scalable data processing, and collaboration with

Qualifications

• Strong expertise in Apache Spark (batch and streaming) and Hive.
• Proficient in Python, Scala or Java.
• Knowledge of orchestration tools (Airflow / Control-M) and DBT; experience with Kafka, Solace and object stores (S3, MinIO).

Responsibilities

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

Skills

Apache Spark

Hive

Python

Scala

Java

Airflow

Control-M

DBT

Kafka

Solace

S3

MinIO

Docker

Kubernetes

Iceberg

Delta Lake

Hudi

Tools

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).