We are looking for a technically proficient Data Engineer with 2-5 Years work experience to join our IT firm. To excel in this job role, you should own excellent in Scripting languages like Unix, Python and OOPs programming languages (Scala preferrable) with understanding of back-end database like Exadata/Oracle/SQL server databases etc.
Job Role:
Develop high quality, secure and scalable scripts and data pipelines using shell script, Oracle procedures and tools like NiFi.
Build automation and efficiency in Data ingestion, data movement, data access and data transfer workflows by innovation and collaboration.
Understand, implement and enforce Software development standards and engineering principles in the RDBMS (Oracle) and Big Data space.
Work closely with business stakeholders and embedded engineering teams within business teams in a collaborative manner to help them build scalable products in quick time.
Leverage new technologies and approaches to innovate with increasingly large data sets.
Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems.
Perform assigned tasks and production incident independently.
Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
Prepare implementation plan and support during and after implementation.
Work with the team as well as an individual contributor to drive efficient deliveries.
Skills Required:
Experience/expertise in Hadoop Eco System - Spark, Python, Hive, Impala.
Experience/expertise in Scripting languages like Unix, Python and OOPs programming languages (Scala preferrable).
Experience in performance tuning of data processing in Hadoop, esp. with huge datasets (in TBs).
Understanding of Exadata/Oracle/SQL server databases.
Good to have exposure to NiFi/Kafka.
Strong SQL programming skills.
Reporting development in Data Warehouse environment is an added advantage.
Understanding of Business Intelligence solutions for customers.
Exposure and understanding of complete SDLC.
Experience in AGILE methodology.
Should be technically strong.
Should have strong communication and coordination skills.
Qualifications:
BCA, MCA, BE, B.Tech or similar education level or certification.