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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Hyderabad data role with broad SQL/Spark/cloud requirements and a recognizable employer, increasing candidate competition.
Core SQL/Spark/ETL skills transfer across industries, so background fit is broadly flexible.
Requires 6+ years and mandatory SQL/Spark/cloud/Linux skills, making shortlisting filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Design and optimize complex SQL and Spark SQL queries for large datasets.
Lead ETL setup, data pipeline validation, and ensure data accuracy across systems.
Analyze Java logs to identify and resolve performance bottlenecks, and manage data workflows in cloud environments (AWS, GCP).
Minimum Requirements
6+ years of experience in SQL, Spark SQL, Unix commands, and data analysis.
Strong understanding of ETL processes and data modeling.
Experience working with large-scale data environments such as AWS or GCP.
Role is hybrid with minimum two days per week in assigned TU office; work experience requirement explicitly stated; degree preferred but not mandatory.
Ideal Candidate Profile
Experienced in managing data pipelines and validating ETL implementation in large-scale cloud environments.
Capable of analyzing application logs (Java) to troubleshoot and improve system performance.
Skilled at mentoring junior analysts and translating business needs into data solutions.