Company Overview :

JIO TESSERACT is a dynamic and innovative technology company at the forefront of digital transformation. We specialize in providing cutting-edge data solutions and services to empower businesses across various sectors, including telecommunications, finance, and retail. Leveraging advanced technologies like Databricks and Spark, we help our clients unlock the full potential of their data, driving informed decision-making and achieving significant business outcomes. Our collaborative and growth-oriented culture fosters innovation and empowers our employees to excel.

Role Overview :

As a Data Engineer - Databricks, you will be instrumental in designing, developing, and maintaining robust data pipelines and data warehousing solutions using Databricks and Spark. You will collaborate closely with data scientists, analysts, and other engineers to build scalable and efficient data infrastructure that supports critical business initiatives. Your expertise will be vital in transforming raw data into actionable insights, enabling data-driven decision-making across the organization.

Key Responsibilities :

- Design and implement scalable and reliable data pipelines using Databricks, Spark, and Python to ingest, process, and transform large datasets for various business needs.

- Develop and maintain data warehousing solutions, ensuring data quality, consistency, and accessibility for reporting and analytics purposes.

- Collaborate with data scientists and analysts to understand their data requirements and provide them with the necessary data infrastructure and tools.

- Optimize data processing workflows and query performance to ensure efficient data delivery and minimize latency.

- Implement data governance policies and procedures to ensure data security, privacy, and compliance with regulatory requirements.

- Troubleshoot and resolve data-related issues, ensuring data integrity and availability for critical business operations.

- Contribute to the development of data modeling strategies and best practices to ensure data consistency and accuracy across the organization.

Required Skillset :

- Demonstrated expertise in designing and implementing data pipelines and data warehousing solutions using Databricks and Spark.

- Proficient in Python programming, with experience in developing data processing scripts and applications.

- Strong understanding of data modeling concepts and techniques, including relational and dimensional modeling.

- Experience with ETL processes and tools, including data extraction, transformation, and loading.

- Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.

- Proven ability to analyze and solve complex data-related problems.

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.