Algotale - Intelliatech (Senior Data Engineer)

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

Location - Pune (Hybrid)

Exp - 10+ years

We require resource as per below JD​

​Advanced knowledge of indexing, window functions, and query planners.​ Deep understanding of normalization, denormalization, and transactional design. ​Proficiency using Spark SQL, Trino, or Presto to query data lakes. ​Implement material views, partitioning, and vacuuming strategies. ​Construct ETL/ELT pipelines integrating structured and semi-structured data. ​Write and tune complex SQL queries for maximum efficiency. ​Develop ACID-compliant Delta Lake tables using Parquet format.​ ​Experience: 10+ years with effective English communication.