Company Overview :

Altezzasys Systems Private Limited is a technology solutions provider specializing in delivering robust software engineering and data-driven services. The company operates across diverse sectors, focusing on building scalable digital infrastructure and high-performance computing systems. With a commitment to technical excellence, Altezzasys supports global clients in navigating complex digital transformations by leveraging modern cloud architectures and advanced data processing frameworks.

Role Overview :

As a Data Engineer at Altezzasys, you will be responsible for designing, building, and maintaining the data pipelines that drive our core analytical and operational platforms. You will work closely with cross-functional teams, including software developers, data scientists, and business stakeholders, to ensure data integrity and accessibility across the enterprise. Your work will directly impact the efficiency of our data infrastructure, enabling the business to derive actionable insights from massive datasets and ensuring high availability for mission-critical applications.

Key Responsibilities :

- Architect and maintain scalable ETL pipelines to ingest and process large volumes of structured and unstructured data for downstream analytics.

- Design robust data models that optimize query performance and support complex business reporting requirements.

- Implement real-time data streaming solutions using Kafka to ensure low-latency data availability for operational dashboards.

- Manage and optimize Big Data clusters, including Hadoop and Spark, to ensure high performance and cost-efficiency in cloud environments.

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

- Collaborate with stakeholders to translate business requirements into technical data solutions that improve decision-making capabilities.

Required Skillset :

- Demonstrated expertise in Pyspark, AWS, Airflow, Python programming for data manipulation and automation within large-scale production environments.

- Proven ability to design and manage data schemas in both SQL and NoSQL databases, ensuring data consistency and scalability.

- Strong proficiency in building distributed data processing systems using Apache Spark and Hadoop ecosystems.

- Hands-on experience in deploying and managing data infrastructure on AWS, utilizing cloud-native services to enhance system reliability.

- Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical team members.

- Ability to thrive in a collaborative, fast-paced environment based in Navi Mumbai, maintaining high standards of code quality and documentation.

- Candidates should possess 3 - 8 years of relevant experience in data engineering roles.