Primary Skills :Databricks Python PySpark Data Engineering
Databricks with Python more of a reports Specialist or Data Engineer ReportingAnalytics focusing on building automating and maintaining data pipelines to transform raw data into optimized reporting assets
Secondary Skills :Cloud Data Platforms, SQL Data Warehousing ETL,ELT Development
MustHave Skills:
Strong handson experience in Databricks platform development and administration
Expertise in Python programming for data processing automation and application development
Strong experience with PySpark for largescale distributed data processing
Excellent SQL skills for data extraction transformation and optimization
Experience building and maintaining ETLELT pipelines in Databricks
Strong understanding of Delta Lake Lakehouse architecture and data lifecycle management
Experience working with structured semistructured and unstructured data sources
Expertise in data modeling performance tuning and query optimization
Experience integrating Databricks with cloud platforms such as Azure AWS or GCP
Proficiency in developing scalable and reusable data engineering frameworks
Strong understanding of data quality governance security and monitoring practices
Experience with version control tools such as Git and CICD implementation
Robust analytical and problemsolving skills with the ability to troubleshoot complex data issues
Experience collaborating with business stakeholders to translate requirements into technical solutions
Excellent communication and stakeholder management skills
GoodtoHave Skills
Experience with Azure Databricks and Azure Data Services ADF ADLS Synapse
Handson experience with Apache Kafka or streaming data solutions
Knowledge of orchestration tools such as Airflow Azure Data Factory or similar platforms
Experience working with Unity Catalog metadata management and data governance frameworks
Understanding of Data Warehousing concepts and modern Lakehouse implementations
Experience with BI and reporting tools such as Power BI Tableau or Looker
Exposure to machine learning workflows and MLOps on Databricks
Knowledge of cloudnative architecture security and cost optimization practices
Experience building reusable data products and enterprise data assets
Familiarity with DevOps practices automated testing and deployment pipelines
Experience in AgileScrum delivery environments
Databricks Cloud or Data Engineering certifications preferred
Experience supporting enterprisescale analytics and digital transformation programs
Skills
Mandatory Skills : Databricks
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
📌 Specialist - Data Engineering (Hyderabad)
🏢 LTM
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.