At Prudent we pride ourselves on our ability to tailor the best solution to meet our customer’s needs. Prudent’s specialty practices are built on strong partnerships with best of breed technology firms, including Salesforce, Splunk, Cylance, McAfee, Symantec, and Databricks. We are always on the lookout for innovators! We strive to hire the best people to work on our exciting projects and teams. We offer our staff a great compensation package, work-life balance, benefits, holidays, PTO, career paths, teamwork, awards & recognition and much more.
Currently we are in the lookout to hire Data Engineers with 2+ yrs of experience.
Location: Hyderabad
Data Engineering and Data Visualization Role Description:
§ Evaluate business use cases and Identify data sources - internal and external environment – to be used in analytics to support decision making related to such business cases
§ Define, Design and Build an optimal data pipeline architecture to collect data from variety of sources, cleanse, and organize data in SQL & NoSQL destinations (ELT & ETL Processes).
§ Define and Build business use case specific data models which can be consumed by Data Scientists and Data Analysts to conduct discovery and drive business insights and patterns.
§ Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
§ Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
§ Build and deploy analytical models and tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
§ Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
§ Define, Design and Build Executive dash boards and reports catalog to serve decision making and insight generation needs.
§ Provide inputs to help keep data separated and secure across data centers – on prem and private and public cloud environments.
§ Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.
§ Work with data and analytics experts to strive for greater functionality in our data systems.
§ Implement scheduled data load process and maintain and manage the data pipelines.
§ Troubleshoot, investigate and fix failed data pipelines and prepare RCA.
Experience with a mix of the following Data Engineering technologies
§ Python, Spark, Snowflake, Databricks, Hadoop(CDH), Hive, Sqoop, oozie
§ SQL – Postgres, MySQL, MS SQL Server
§ Azure – ADF, Synapse Analytics, SQL Server, ADLS G2
§ AWS – Redshift, EMR cluster, S3
Experience with a mix of the following Data Analytics and Visualization toolsets
§ SQL, PowerBI, Tableau, Looker, Python, R
§ Python libraries -- Pandas, Scikit-learn, Seaborn, Matplotlib, TF, Stat-Models,..PySpark, Spark-SQL, R, SAS, Julia, SPSS,
§ Azure – Synapse Analytics, Azure ML studio, Azure Auto ML