:

- Data Engineer (PySpark):
- 5+ years of experience in Data Analytics role with at least 2 years of development experience in PySpark• Very strong in SQL• Expertise in programming with Python with experience in Data Cleaning, Feature Engineering, Transformation and building statistical/ML models.
- Experience working on Unix based platforms with basic knowledge of shell scripting, writing Cron jobs etc.
- Knowledge of big data ecosystem with knowledge of Hadoop, Hive & GitHub version management• Knowledge of Cloud Computing (GCP), Data Modelling, exposure to Data Quality assessment and control.
- Exposure to working on data pertaining to banking and financial services domain• Highly adaptable in quickly changing technical environments with strong organizational and analytical skills 2 AM Role resource for - Data Analysts• Minimum 4 years of work experience in Data Analysis,



BI or Data Engineering roles with a quantitative degree preferably in Computer Science, Statistics or Mathematics.
- Excellent Data handling and strong analytical skills to collect, transform and discover patterns.
- Technical proficiency in writing code in Python, advanced SQL queries and a valuable understanding of other data mining tools & techniques • Expertise in working on data/cloud platforms such as Apache Hadoop, Spark, GCP and experience working with large datasets.
- Experience in translating business challenges into data problems and coming up with solutions.
- Fluency in articulating findings to peer group and stakeholders• Prior experience in data transformation projects is an added bonus.
- Experience in Banking or Financial services

📌 Hiring for Leading companies / Data engineer(Assistant Manager) (Bengaluru)
🏢 Acura Solution
📍 Bengaluru