Job Description:

- 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 solid 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 good 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