- Daily tasks include ensuring data integrity, performing maintenance on data systems, and supporting the team with clear communication and problem-solving skills.

- Transform data into valuable insights that inform business decisions, making use of our internal.

- Data platforms and applying appropriate analytical techniques.

- Design, model, develop, and improve data pipelines and data products.

- Engineer reliable data pipelines for sourcing, processing, distributing, and storing data in.

- Different ways, using data platform infrastructure effectively.

- Develop, train, and apply machine-learning models to make better predictions, automate.

- Manual processes, and solve challenging business problems.

- Ensure the quality, security, reliability, and compliance of our solutions by applying our digital.

- Principles and implementing both functional and non-functional requirements.

- Build observability into our solutions, monitor production health, help to resolve incidents, and remediate the root cause of risks and issues understand, represent, and advocate for client needs.

6+ years of Experience in :

- Comprehensive understanding and ability to apply data engineering techniques, from event streaming and real-time analytics to computational grids and graph processing engines.

- Curious to learn new technologies and practices, reuse strategic platforms and standards, evaluate.
options, and make decisions with long-term sustainability in mind.

- Strong command of at least one language among Python, Java, Golang.

- Understanding of data management and database technologies including SQL/NoSQL.

- Understanding of data products, data structures and data manipulation techniques including classification, parsing, pattern matching.

- Experience with Databricks, ADLS, Delta Lake/Tables, ETL tools would be an asset.

- Good understanding of engineering practices and software development lifecycle.

- Enthusiastic, self-motivated and client-focused.

- Strong communicator, from making presentations to technical writing.

- Bachelors degree in relevant discipline or equivalent experience.

Qualifications :

- Strong Analytical Skills and Troubleshooting abilities.

- Experience in Cabling and Data Center Operations.

- Excellent Communication skills.

- Ability to work effectively on-site in Hyderabad.