Senior Associate- Data Science & Analytics

Senior Associate- Data Science & Analytics Location :  Gurgaon   Full/ Part-time :Full Time     About Carrier     Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort,   safety   and sustainability to life. Through   cutting-edge   advancements in climate solutions such as temperature control, air   quality   and transportation, we improve lives, empower critical   industries   and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the   center   of   everything we do. For more information, visit   corporate.carrier.com   or follow Carrier on social media at @Carrier.

Supports the design of enterprise-wide business intelligence applications and architecture. Supports the development of standards, policies and procedures for the form, structure and attributes of business intelligence tools and systems. Provides support with defining useful analyses to solve problems. Supports the creation of testing methodologies and criteria as well as developing data/information quality metrics. Provides support with researching new technologies and developing business cases to support their use.

Responsibilities: Data Pipeline Development: Design, develop, and manage robust ETL/ELT pipelines to process structured and unstructured data efficiently. Ensure seamless data ingestion, transformation, and delivery across various systems. AWS Glue Expertise: Develop, schedule, and monitor Glue jobs for data extraction, transformation, and loading (ETL). Write and optimize PySpark scripts within Glue for large-scale data processing. Configure Glue crawlers for metadata cataloging and schema discovery. Troubleshoot and optimize Glue workflows for efficiency and cost-effectiveness. Cloud Data Infrastructure: Build and maintain cloud-based data infrastructure using AWS services such as S3, Lambda, and Step Functions. Automate data pipeline workflows using orchestration tools like Step Functions and AWS Glue workflows. Database Management and SQL Expertise: Write, optimize, and maintain complex SQL queries for data extraction, reporting, and analytics. Administer relational and non-relational databases, ensuring data integrity and availability. Collaboration and Communication: Work closely with data analysts, data scientists, and business stakeholders to understand and address data needs. Snowflake  Expertise: Build data model in snowflake using complex SQL query Expert in GIT Hub for data pipeline deployment Requirements   Requires theoretical to advanced knowledge obtained through a University degree, combined with experience Practical knowledge of Carrier organization, programs or systems with the ability to make enhancements and leverage in daily work University Degree or equivalent A minimum of 3 years prior relevant experience Benefits   We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.  Make yourself a priority with flexible schedules, parental leave   Drive forward your career through professional development opportunities  Achieve your personal goals with our Employee Assistance Programme    Our commitment to you     Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and