Senior Data Engineer

Building No 12D, Floor 5, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Carrier

Carrier is the global leader in sustainable healthy buildings, HVAC, commercial and transport refrigeration solutions. Learn more about Carrier Corporation.

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Country:

India

Location:

Building No 12D, Floor 5, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Role:  Senior Data Engineer

Location: Hyderabad, India

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

As part of its separation from Carrier, the Commercial and Residential Fire business is building its digital organization department. This presents an excellent opportunity for a motivated and strategic thinker to assume the senior data engineer with analytics organization. This role represents the opportunity to help build and shape the future of our analytics function. While reporting directly to the director of digital technology at HRDC, this person will work with various members across organization; business and IT to help solve issues and create true value for the company.

General Information  

Description: The senior data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.

Responsibilities
  • Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems.

  • Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance.

  • Integrates data from different sources, including databases, data warehouses, APIs, and external systems.

  • Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed.

  • Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.

  • Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency.

  • Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance.

  • Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.

  • Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance

  • Works with board members and other executives to establish the vision for managing data as a business asset.

  • Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making.

Job Requirements

Education

  • A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; master’s degree preferred.

Experience

  • At least eight+ years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.

  • Proven project experience developing and maintaining data warehouses in big data solutions using modern data platforms like Snowflake.

Skills

  • Expert knowledge in AWS data services such as Glue, S3, Lambda, Redshift, DynamoDB, RDS to build scalable and efficient data pipelines.

  • Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI

  • Hands on knowledge on data integration tools such as SAP BODS and Informatica

  • Hands on knowledge to build dashboards using Power BI

  • Strong ability in programming languages such as Java or Python.

  • Ability in data query languages / tools such as SQL, Excel

  • Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)

  • Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata

  • Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products.

  • Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems.

  • Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.

  • Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.

  • Ability to translate among the languages used by executive, business, IT, and quant stakeholders.

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 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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Category: Engineering Jobs

Tags: APIs Architecture AWS Azure Big Data Computer Science Databricks Data management Data pipelines Data quality Data warehouse DynamoDB Engineering Excel GCP Hadoop Informatica Java Lambda Machine Learning NoSQL Oracle Pipelines Power BI Privacy Python Redshift Security Snowflake SQL Teradata

Perks/benefits: Career development Parental leave

Region: Asia/Pacific
Country: India

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