Data Engineer

Role: Data Engineer

Location: Bangalore

Full/ Part-time: Full Time

Build a career with confidence

Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

About the role

We are seeking a talented and experienced Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data transformation and cleansing, with expertise in preparing machine learning (ML) ready datasets. The role will involve collaborating closely with data scientists and other stakeholders to understand requirements and provide the necessary data using tools such as BigQuery/Amazon Redshift, PySpark, and other relevant technologies.

Key Responsibilities:

• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and objectives for machine learning and analytics projects.
• Design, develop, and maintain scalable and efficient data pipelines for transforming and cleansing raw data into ML-ready datasets.
• Implement data transformation logic and algorithms using tools such as PySpark, Apache Spark, or similar frameworks to pre-process and clean data.
• Utilize cloud-based data warehouse solutions such as Amazon Redshift to store and manage large volumes of structured and unstructured data.
• Collaborate with data architects and database administrators to optimize data models, schema designs, and query performance for analytics and reporting purposes.
• Ensure data quality and integrity by implementing data validation checks, error handling mechanisms, and monitoring processes throughout the data pipeline.
• Work with cross-functional teams to identify and address data integration and interoperability challenges, including data synchronization, data consistency, and data governance.
• Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning techniques, and proactively apply new methodologies and best practices to improve data processing workflows.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree preferred.
• 7+ years of experience in experience candidate as back end - data engineer.
• Strong proficiency in Python and PySpark for data manipulation, analysis, and modelling. Experience with libraries such as Pandas, NumPy, TensorFlow, and PyTorch is highly desirable.
•  techniques for anomaly detection, forecasting, and revenue optimization.
• Experience working with large-scale datasets and distributed computing frameworks for processing and analysing big data, such as Hadoop, Spark, and Databricks.
• Excellent communication skills and ability to effectively collaborate with cross-functional teams, including business stakeholders, data engineers, software developers, and product managers.
• Strong analytical and problem-solving skills, with a passion for using data-driven approaches to solve complex business problems and drive innovation.
• Strong experience in SQL.
• Experience in Docker and Openshift
• Hands on experience with REST Concepts.
• Required Skills Jira, Snowflake, Kafka, analytical, outcomes based, insights driven, REST APIs, Amazon Web Services, Strong SQL, Python programming, AWS, Python, Communication, OpenShift, REST, troubleshoot, Bitbucket, PySpark, Docker.

Benefits

We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.

• Have peace of mind and body with our health insurance
• 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 practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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