Principal Data Engineer- 10 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering
Description
Responsibilities for Principal Data Engineer
- Provides consultation on business requirements and functional specifications in logical program designs, code modules, and stable application or infrastructure systems; facilitates the transition to high level design and supports the project lifecycle with input from executive leadership where needed
- Contributes to and leverages the technical direction for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight and guidance for the design and coding of component based applications.
- Serves as a technical expert for project teams throughout the implementation and maintenance of business and enterprise data solutions by leveraging partnerships with technology teams and business leaders to resolve escalated issues
- Offers expertise in troubleshooting complex systems integration testing (SIT) and user acceptance testing (UAT) for cross functional application initiatives
- Has detailed knowledge of software or platform architecture; makes technical tradeoffs between shor tterm team needs and long term business needs. Determine how to apply and/or reuse technologies across different areas of the company
- Sets the standard for engineering, test, and operational excellence, drives best practices across organizations; builds proof of concepts (POC) and proof technologies (POT)
- Solves significantly complex or endemic problems; architectures are exemplary in terms of robustness, stability, scalability, cost effectiveness
- Mentors and advises others, sharing an indepth understanding of company and industry methodologies, policies, standards, and controls
- Reviews the development or modification of highly complex, enterprise level Data or BI or Platform solutions
- Develops and validates highly complex data design prototypes, ensuring designs adhere to company architecture standards
- Provides expert insight into best practices for delivering successful validation and testing of highly complex Data or BI or Platform solutions; advises on best approach for unique and challenging testing scenarios.
Qualifications
- 10 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering
- 6 years of experience in Hadoop or any Cloud Bigdata components
- Expertise in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, Mlib), Kafka or equivalent Cloud Bigdata components
- 5 years of experience in Microstrategy
- 2 years of experience in OLAP on Hadoop or any Cloud BI components
- 5 years of experience architecting and designing BI projects
- Expertise in Microstrategy/Power BI/SQL, Scripting, Teradata or equivalent RDBMS, Hadoop (OLAP on Hadoop), BI Architecting, Dashboard development, Mobile development
Position
Data Engineer
Salary
48 – 53 Lakh/Year INR
- Payroll
- Partially Remote
- Pune, Maharashtra, India
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