Job Description – Data Engineer

Position-Data Engineer

Experience-5 – 10 Years

*LOCATION: NEWZEALAND (IN OFFICE OPPORTUNITY)*

Job Summary

We are seeking an experienced
Data Engineer
with strong expertise in building scalable and high-performance data platforms. The ideal candidate will have hands-on experience with
Apache Airflow, Apache Spark, PySpark, Scala, Databricks, Docker, and Advanced SQL
, with a proven track record of developing and optimizing large-scale data pipelines and ETL processes.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data processing frameworks.

Build and orchestrate ETL/ELT workflows using
Apache Airflow
.

Develop data engineering solutions using
Apache Spark, PySpark, and Scala
.

Leverage
Databricks
for large-scale data processing, optimization, and analytics.

Write, optimize, and troubleshoot complex SQL queries involving:

Inner, Left, Right, and Full Joins

Self Joins

CTEs and Subqueries

Window Functions

Query Performance Tuning

Develop, deploy, and manage containerized applications using
Docker
.





Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.

Implement data quality checks, monitoring, and performance tuning.

Ensure data governance, security, and compliance standards are maintained.

Troubleshoot and resolve production issues related to data pipelines and processing jobs.

Mandatory Skills

Apache Airflow
– DAG creation, workflow orchestration, scheduling, and monitoring.

Apache Spark
– Distributed data processing and performance optimization.

PySpark
– ETL development, transformations, and data engineering.

Scala Programming
– Strong hands-on development experience with Spark/Scala applications.

Databricks
– Notebooks, workflows, Delta Lake, and cluster management.

Advanced SQL

Strong expertise in Joins (Inner, Outer, Left, Right, Full, Self)

Window Functions

Query Optimization

Data Modeling Concepts

Performance Tuning

Docker

📌 Data Engineer (India)
🏢 Talentgigs
📍 India