Spark Engineer

We are seeking a highly skilled

Spark Engineer

to design, build, and optimize large-scale data processing systems using

Apache Spark

• . The ideal candidate will have deep expertise in distributed data processing, ETL pipelines, and performance tuning for high-volume data environments. You will collaborate with data scientists, analysts, and engineers to ensure scalable, reliable, and efficient data solutions.

Key Responsibilities :

Required Skills & Qualifications

in Computer Science, Engineering, or related field (Master's preferred).

of hands-on experience with

Apache Spark

(Core, SQL, Streaming).

programming skills

in

Scala

Java

, or

Python

(PySpark).

distributed computing concepts

and

big data ecosystems

(Hadoop, YARN, HDFS).

data serialization formats

(Parquet, ORC, Avro).

data lake and cloud environments

(AWS EMR, Databricks, GCP DataProc, or Azure Synapse).

SQL

and experience with

data warehouses

(Snowflake, Redshift, BigQuery is a plus).

performance tuning

and

Spark job optimization

CI / CD pipelines

and

version control

(Git).

containerization

(Docker, Kubernetes) is an advantage.

This is a 12-month contract appointment, with the potential for extension or conversion to a permanent position subject to performance and business needs.