CitiusTech Healthcare Technology is hiring Data engineers for technical lead position.
Location - Remote
Time - EST timezone
JOB ROLES AND RESPONSIBILITIES:
• Understand business processes and how they are modeled in various systems
• Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
• Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
• Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
• Guiding decisions and establishing best practices on data integration/engineering, as well as the future of our data infrastructure
• Managing and improving the performance of our database, queries, tools, and solutions
• Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports (Tableau, Qlik etc), dashboards, predictive models, and downstream analysis
• Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
• Prepare data for predictive and prescriptive modeling
• Identify and analyze data patterns
• Identify ways to improve data reliability, efficiency and quality
• Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure • Other duties as assigned
JOB REQUIREMENTS (Education, Experience, and Training):
• Minimum Bachelor's degree in computer science, information technology, or a similarly relevant field.
• Minimum 5 years of data engineering experience preferred.
• Experience working on cloud platforms such as AWS and Azure
• Very strong experience working with Informatica IDMC (Cloud Data Integration)
• Experience with programming languages such as Python and pySPARK
• Experience with AWS, Redshift, Apache Hive and Databricks
• Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
• Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
• Database development experience using SQL and/or SnowSQL and experience with a variety of relational, NoSQL oriented databases like Hadoop, MongoDB.
• Experience with Snowflake warehouse and developing applications on Snowflake, SnowSQL, Snowpipe, & Stored procedures is plus
• Extensive experience in triaging data issues, analyzing end-to-end data pipelines and working with business users in resolving issues.
• Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines.
• Exposure to containerization using Docker, Kubernetes etc.
INTERPERSONAL SKILLS:
• An agile learner who brings strong problem-solving skills and enjoys working as part of a technical, cross functional team to solve complex data problems
• Able to prioritize and work on multiple projects and requests at any one time • Strong attention to detail when identifying data relationships, trends, and anomalies.
• Thinking through long-term impacts of key design decisions and handling failure scenarios.
• Excellent oral, written, and communication skills
• Ability to effectively share technical information, communicate technical issues and solutions to all levels of business • Ability to meet strict deadlines, work on multiple tasks and work well under pressure.
Role: Data Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: B.Tech/B.E. in Any Specialization
PG: M.Tech in Any Specialization, MBA/PGDM in Any Specialization
Key Skills
Monthly based
Maharashtra , India
