Preferred Location : Bangalore / Pune

Shift Timing : Fixed shift 2:00 PM IST to 11:00 PM IST

Mode of Work : Hybrid

Project Duration : Minimum 1 year

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack. The Senior Data Analytics Engineer works directly with clients to ensure their expectations and business decision-making tool needs are met. The Engineer is an expert in using analytical and problem-solving skills and has experience creating scalable and reliable data solutions through data analytics solution development.

Responsibilities :

- Lead and participate in the development of high-quality software solutions for client projects, using modern programming languages and frameworks.

- Contribute to system architecture and technical design decisions, ensuring that solutions are scalable, secure, and meet client requirements.

- Work closely with clients to understand their technical needs and business objectives, offering expert advice on software solutions and best practices.

- Provide guidance and mentorship to junior developers, assisting with code reviews, troubleshooting, and fostering a culture of technical excellence.

- Work with project managers, business analysts, and other engineers to ensure that technical milestones are achieved, and client expectations are met.

- Ensure the quality of software through testing, code optimization, and identifying potential issues before deployment.

- Stay up to date with industry trends, new technologies, and best practices to continuously improve development processes and software quality.

- Other duties as assigned and directed.

Required Technical Skills :

- 5+ years of work experience in data engineering

- Your data engineering experience should include Azure technologies and be familiar with modern data platform technologies such as Azure Data Factory, Azure Databricks, Azure Synapse, Fabric

- Understanding of Agile engineering practices

- Deep familiarity and experience in the following areas: Data warehouse and lakehouse methodologies, including medallion architecture; Data ETL/ELT processes; Data profiling and anomaly detection; Data modeling (Dimensional/Kimball); SQL

- Strong background in relational database platforms

- DevOps/Continuous integration & continuous delivery

Required Skills :

- EXCELLENT verbal and written communication skills...will be expected to interact with client (gather requirements, troubleshoot issues, etc)

- Able to work independently

- Proactive approach...must be able to continue to drive the project to completion with only general direction

MISC :

- Would prefer as much overlap with US ET and CT time zones. 2:00 pm IST to 11:00 pm IST shift is acceptable for a candidate who can work independently.