Before you apply to a job select your language preference from the options available at the top right of this page Explore your next opportunity at a Fortune Global 500 organization Envision cutting-edge possibilities experience our rewarding culture and work with talented teams that help you become better every day We know what it takes to lead UPS into tomorrow people with a unique combination of skill passion If you have the qualities and drive to lead yourself or teams there are roles ready to cultivate your skills and take you to the next level JOB SUMMARY This position leads the development of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science and machine learning practices This position leads and participates in the integration of data from various data sources both internal and external This position performs extract transform load ETL data conversions and facilitates data cleansing and enrichment This position leads others and manages projects within the department and supports Leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders This position contributes to and supports synthesizing disparate data sources to create reusable and reproducible data assets This position also supports the data science community working through analytical model feature tuning RESPONSIBILITIES Leads the development and design of the data engineering projects and guides the team to build solutions by leveraging a software application solution used for statistical modeling and analysis data warehousing and cloud solutions and building data pipelines Provides leadership for data engineering projects and data engineering maintenance and support Recommends analytic reporting tools technologies and leads adoption of emerging technology products and tools Directs integration of data for data engineering projects Leads project efforts with the technology solutions to perform proof of concept POC analysis Leads team to provide data warehousing solutions Guides the team to organize the data for reporting analytics and data mining Guides the team in building Data APIs to enable data scientists and business intelligence analysts to query the data Conducts code reviews developed in programming language used for statistical analysis and modeling such as Python Java Scala C Leads the implementation strategy and backup and recovery procedures QUALIFICATIONS Requirements Strong understanding of the data interconnections between organizations operational and business functions Strong understanding of data life cycle stages - data collection transformation analysis storing the data securely providing data accessibility Strong understanding of the data environment to ensure that it can scale for the following demands Throughput of data increasing data pipeline throughput Analyzing large amounts of data real-time predictions insights and customer feedback data security data regulations and compliance Evaluates and provides guidance on analytic reporting technologies e g PBI Looker Qlik etc Strong understanding of a Cloud services platform e g GCP or AZURE or AWS and all the data life cycle stages Understanding of machine learning algorithms which help data scientists make predictions based on current and historical data Knowledge of algorithms and data structures and ability to perform data filtering and data optimization A Bachelor s degree in MIS mathematics statistics or computer science international equivalent or equivalent job experience Employee Type Permanent UPS is committed to providing a workplace free of discrimination harassment and retaliation

📌 Lead Data Engineer - Gcp, Bigquery, Python, Sql, Shell Scripting (Tamil Nadu)
🏢 UPS
📍 Tamil Nadu