LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree — a Larsen & Toubro Group company — solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/
Azure Databricks Lead
Data Pipeline Design and Development
Designing developing and maintaining scalable data pipelines and ETL processes using Azure Databricks Data Factory and other Azure services
Spark Job Implementation and Optimization
Implementing and optimizing Spark jobs data transformations and workflows within Databricks
Data Model Development
Developing and maintaining data models and data dictionaries
Data Quality and Governance
Developing and maintaining data quality checks governance policies and security procedures
ETL Process Design and Maintenance
Designing and creating ETL processes to supply data to various destinations including data warehouses
Data Integration
Integrating data from various sources into Azure Databricks
Collaboration
Working with other teams including data engineers data scientists and analysts to ensure data quality and consistency
Monitoring and Optimization
Implementing effective monitoring processes to track performance and optimize workflows
Data Lakehouse Solutions
Contributing to the design and implementation of data lakehouse solutions using Databricks
Skills and Qualifications
Azure Databricks Proficiency Experience with Azure Databricks PySpark and Spark
Programming Languages Proficiency in languages like Python SQL and Scala
ETL and Data Warehousing Strong understanding of ETL processes data warehousing concepts and data modeling
Cloud Platforms Experience with cloud platforms particularly Microsoft Azure
Data Engineering Experience in data engineering data pipelines and data integration
Data Governance and Security Knowledge of data governance policies and procedures
Problemsolving and Debugging Excellent problem solving and debugging skills
Communication and Teamwork Strong communication and teamwork skills
"Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits and Perks:
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.