ANAndor Tech
Hadoop Developers
Bangalore ₹3-20 LPA Posted 3 Jun 2025
FULL TIME
Data Modeling
Hive
Spark
Etl
Sql
+2 more
Job Description
- Translates business requirements and specifications into logical program designs, modules, stable application systems, and data solutions with occasional guidance from senior colleagues; partners with Product Team to understand business needs and functional specifications
- Develops, configures, or modifies integrated business and/or enterprise application solutions within various computing environments by designing and coding component-based applications using various programming languages
- Conducts the implementation and maintenance of complex business and enterprise data solutions to ensure successful deployment of released applications
- Supports systems integration testing (SIT) and user acceptance testing (UAT), provides insight into defining test plans, and ensures quality software deployment
- Participates in the end-to-end product lifecycle by applying and sharing an in-depth understanding of company and industry methodologies, policies, standards, and controls
- Understands Computer Science and/or Computer Engineering fundamentals; knows software architecture and readily applies this to Data or Platform solutions
- Automates and simplifies team development, test, and operations processes; develops conceptual, logical and physical architectures consisting of one or more viewpoints (business, application, data, and infrastructure) required for business solution delivery
- Solves difficult technical problems; solutions are testable, maintainable, and efficient
- Data Engineering Responsibilities
- Supports the build, maintenance and enhancements of data lake development; supports simple to medium complexity API, unstructured data parsing and streaming data ingestion
- Excels in one more domain; understands pipelines and business metrics Builds, tests and enhances data curation pipelines integration data from a wide variety of sources like DBMS, File systems and APIs for various KPIs and metrics development with high data quality and integrity
- Supports the development of feature / inputs for data models in an Agile manner Works with Data Science team to understand mathematical models and algorithms; participates in continuous improvement activities including training opportunities; continuously strives to learn analytic best practices and apply them to daily activities
- Handles data manipulation (extract, load, transform), data visualization, and administration of data and systems securely and in accordance with enterprise data governance standards
- Maintains the health and monitoring of assigned analytic capabilities for a specific data engineering solution; ensures high availability of the platform; monitors workload demands; works with Infrastructure
- Engineering teams to maintain the data platform; serves as an SME of one or more application
- BI Engineering Responsibilities
- Supports the build, maintenance and enhancements of BI solutions; creates standard and ad hoc reports; uses basic report formatting like sorting, totaling, and exporting
- Excels in one or more domains; understands pipelines and business metrics Demonstrates database skill (Teradata/Oracle/Db2/Hadoop) by constructing Logical SQL statements, validating MicroStrategy Report SQL and DB SQL for data testing, and using MicroStrategy Web