Hyderabad, Telangana, India
Education & E-learning
Full-Time
Technogen India Pvt. Ltd.
Overview
Note: More details below for DE, Investments Domain role.
Domain Key words : Capital Markets, Investment Banking
Technical Key words: Informatica, batch/shell scripting, data warehousing , SQL, ETL, Python (basic to intermediate)
Objectives of the role
Domain Key words : Capital Markets, Investment Banking
Technical Key words: Informatica, batch/shell scripting, data warehousing , SQL, ETL, Python (basic to intermediate)
Objectives of the role
- Design, build and maintain complex ELT jobs that deliver business value
- Translate high-level business requirements into technical specs
- Ingest data from disparate sources into the data lake and data warehouse
- Cleanse and enrich data and apply adequate data quality controls
- Provide insight and direction to guide the future development of organization’s data platform
- Develop re-usable tools to help streamline the delivery of new projects
- Collaborate closely with other developers and provide mentorship
- Evaluate and recommend tools, technologies, processes and reference architectures
- Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements
- Bachelor’s degree in computer science, engineering or a related field
- Data: 8+ years of experience with data analytics and warehousing in Investment & Finance Domain
- SQL: Deep knowledge of SQL and query optimization
- ELT: Good understanding of ELT methodologies and tools
- Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues
- Communication: Excellent communication, problem solving and organizational and analytical skills
- Able to work independently and to provide leadership to small teams of developers
- 3+ years of coding and scripting (Python, Java, Scala) and design experience.
- 3+ years of experience with Spark framework.
- Experience with Vertica or any Columnar Databases.
- Strong data integrity, analytical and multitasking skills.
- Master’s degree in computer science or engineering or a related field
- Cloud: Experience working in a cloud environment (e.g. AWS)
- Python: Hands on experience developing with Python
- Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka
- Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow)
- Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation)
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