Junior Data Engineer

Actively Reviewing the Applications

Artmac

India, Telangana, Hyderabad Full-Time On-site

Posted 3 hours ago • Apply by June 11, 2026

Job Description

Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description

Job Title : Junior Data Engineer

Job Type : Full-Time

Experience: 1 - 2 years

Location : Hyderabad, Telangana

Responsibilities

Design and develop data ingestion pipelines to load CSV files, business flat files, and SAP Fusion data into Google BigQuery for analytics and reporting.
Implement real-time data ingestion pipelines using Google Cloud Dataflow and Pub/Sub, and support streaming architectures using Delta Live Tables and Structured Streaming.
Develop and manage batch ETL pipelines using Cloud Dataflow, Dataproc, and Apache Spark, ensuring scalable and reliable data processing.
Build low-code ETL workflows using Google Cloud Data Fusion and integrate data using DataFactory and connector-based ingestion frameworks.
Perform Spark-based data processing using Cloud Dataproc and Databricks Runtime (Photon) to handle large-scale data transformations.
Design and maintain data storage and ingestion layers using BigQuery and Delta Lake for high-performance analytics workloads.
Write and optimize complex SQL queries, views, and stored procedures to support transformation and reporting needs.
Perform data cleansing, transformation, and validation using SQL and Spark to ensure data quality and integrity.
Manage and maintain databases using DBeaver and SSMS, ensuring smooth database operations.
Optimize BigQuery query performance, partitioning, and clustering for efficient data analytics.
Troubleshoot and resolve data ingestion issues, ETL pipeline failures, and database performance problems.
Ensure data accuracy, integrity, and consistency across ingestion and transformation pipelines.
Work closely with analytics, reporting, and business teams to deliver reliable datasets and support analytical use cases.
Support data modeling and schema design for efficient storage and query performance within Google BigQuery and Delta Lake environments.

Qualification