Back
Established multinational, mid-level data role, Hyderabad metro, and common Databricks/PySpark skillset increase competition.
Core data engineering and cloud tooling skills (PySpark, SQL, AWS) are easily transferable across industries.
Explicit 5–8 years plus mandated Databricks, PySpark, SQL, and cloud skills make shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain data pipelines and data solutions to support data generation, collection, processing, and quality across systems.
Create metric dashboards and self-serve analytics using tools such as Tableau or Power BI to derive business insights.
Leverage cloud platforms (preferably AWS) and big data technologies like Databricks (PySpark, SparkSQL) for scalable and efficient data management and analytics.
5 to 8 years of experience in Computer Science, IT, or related field with at least a Diploma qualification (Bachelor’s or Master’s degree also acceptable).
Hands-on experience with big data platforms and technologies including Databricks, PySpark, SparkSQL, and workflow orchestration.
Proficiency in Python/R for exploratory data analysis, feature engineering, and machine learning model training.
Proficiency with data visualization tools such as Tableau, Power BI, or Python visualization libraries like matplotlib/seaborn.
Experienced in designing and optimizing large-scale data pipelines with a strong grasp of data architecture, ETL, and data governance.
Comfortable working with complex datasets and delivering actionable business insights through analytics and visualization.
Familiarity or interest in emerging technologies such as GenAI/LLM and building data products related to natural language interfaces.