About Algotale
At Algotale, we believe in the transformative potential of data to reshape industries, drive innovation, and create unparalleled value. Established in 2020 by a team of passionate and visionary professionals, Algotale set out to redefine the landscape of IT services and consulting by integrating a data-centric approach into every solution we design.
Our journey began with a focus on creating customized, data-driven solutions that directly address the unique challenges and ambitions of our clients. Over the years, our dedication to excellence has allowed us to grow into a trusted partner for businesses across industries, supporting them through every stage of digital transformation. Today, Algotale stands as a prominent player in the IT consulting world, known for our agility, innovation, and commitment to delivering results.
With a team of over 500 skilled professionals, we specialize in IT services, staffing, and consulting, empowering our clients to unlock the full potential of their data. Our expertise extends across data analytics, artificial intelligence, machine learning, and cutting-edge cloud solutions. By leveraging these technologies, we help organizations build resilient digital infrastructures, optimize operations, and achieve strategic growth.
As the digital landscape evolves, so does our commitment to pushing boundaries, embracing new challenges, and exceeding client expectations. At Algotale, we don’t just provide solutions; we forge partnerships built on trust, insight, and a shared drive to thrive in an increasingly data-driven world.
Website: www.algotale.com
Industry: IT Services and Consulting
Company Size: 501–1,000 employees
Founded: 2020
Specialties: IT Services, IT Staffing, IT Consulting
Position: Data Engineer
Engagement Mode: Hybrid
Location: Hyderabad
Position Overview
We are seeking an experienced Data Engineer with 8+ years of expertise to join our team in Hyderabad. The ideal candidate will bring strong proficiency in cloud data platforms, workflow orchestration, and modern analytics engineering practices.This role demands hands-on experience with Python-based pipeline development, Apache Airflow for orchestration, advanced SQL, dbt for analytics engineering, and cloud data warehouse technologies such as BigQuery. The candidate will be responsible for designing, building, and maintaining robust ETL/ELT data pipelines and data models that support business intelligence and analytics initiatives.Immediate to 15-day notice period joiners are preferred.
Key Responsibilities
Design, develop, and maintain scalable data pipelines for data processing and transformation.Build and manage workflow orchestration using Apache Airflow.Develop and maintain data models and transformations using dbt.Work with BigQuery or similar cloud data warehouses for data storage and querying.Manage and interact with cloud object storage such as Google Cloud Storage (GCS) or equivalent platforms.Implement and optimize ETL/ELT patterns for efficient data ingestion and processing.Apply advanced SQL for data querying, transformation, and analysis.Collaborate with analytics and engineering teams to support data-driven decision-making.Ensure data quality, reliability, and performance across data pipelines.Apply analytics engineering best practices to deliver clean, well-documented data assets. Required Skills
Python for data processing and pipeline developmentApache Airflow for workflow orchestrationAdvanced SQLdbt (Data Build Tool)BigQuery or similar cloud data warehousesGoogle Cloud Storage (GCS) or equivalent cloud object storageETL/ELT patterns and best practicesData ModelingAnalytics Engineering8+ years of overall experience in Data Engineering Preferred Skills
Experience with equivalent cloud data warehouse platformsFamiliarity with other cloud object storage solutionsImmediate to 15-day notice period availability
