Company Overview :

SSMTB Software Services Private Limited is a specialized technology services firm focused on delivering high-end digital transformation and data engineering solutions. Operating at the intersection of cloud infrastructure and advanced analytics, the company partners with global enterprises to modernize their data ecosystems. SSMTB is committed to building scalable, secure, and efficient cloud-native architectures that empower businesses to derive actionable intelligence from complex data sets.

Role Overview :

As a GCP Data Engineer at SSMTB, you will be responsible for architecting and maintaining robust data pipelines that serve as the backbone for our clients' analytical platforms.

You will work closely with cross-functional teams, including data scientists, cloud architects, and business stakeholders, to translate complex requirements into high-performance data solutions.

Your work will directly influence the scalability of client data warehouses and the reliability of their decision-making processes, ensuring that data is accurate, accessible, and governed across the cloud environment.

Key Responsibilities :

- Design and implement scalable ETL/ELT pipelines using Google Cloud Platform services to ensure seamless data ingestion and transformation for diverse business units.

- Develop and optimize complex SQL queries and data models within BigQuery to support high-speed analytical reporting and business intelligence initiatives.

- Orchestrate end-to-end data workflows using Apache Airflow to ensure timely and reliable data delivery across the enterprise.

- Build and manage distributed data processing jobs using Apache Spark, Dataflow, and Dataproc to handle large-scale data transformation tasks efficiently.

- Implement Infrastructure as Code (IaC) using Terraform to automate the provisioning and management of cloud resources, ensuring consistency and repeatability.

- Enforce data quality and security standards by integrating Cloud Data Governance and Catalogue tools to maintain compliance and data integrity for stakeholders.

Required Skillset :

- Demonstrated expertise in architecting data solutions on Google Cloud Platform, with a deep understanding of cloud-native data warehousing and processing services.

- Proficiency in Python for developing custom data processing scripts and automating complex pipeline logic.

- Strong analytical capabilities in SQL and data modeling, with the ability to design schemas that optimize query performance and storage costs.

- Proven ability to manage large-scale data environments using Apache Spark and related big data processing frameworks.

- Excellent communication skills to effectively collaborate with technical teams and articulate complex data architectures to non-technical stakeholders.

- A proactive approach to problem-solving, with the ability to adapt to the fast-paced, hybrid work environment at our Bangalore office.

- A solid foundation in computer science or a related quantitative field, reflecting a strong grasp of data structures and algorithmic efficiency.