Sr Advanced Data Engineer

Posted 5 Hours Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
In an era of dynamic change, Aerospace is addressing the most complex challenges in space.
The Role
Design, build, and optimize scalable data pipelines and architectures. Collaborate with cross-functional teams to deliver data solutions, ensure data quality and integrity, enable advanced analytics, and drive continuous improvement and innovation in data engineering.
Summary Generated by Built In

As a Senior Advanced Data Engineer here at Honeywell, you will play a crucial role in designing, developing, and optimizing data pipelines and architectures. You will work closely with cross-functional teams to understand data requirements and ensure the efficient handling and analysis of large volumes of data. Your expertise in data engineering will be key in driving data-driven decision-making and improving operational efficiency within the organization.

In this role, you will impact the business by developing robust data solutions, ensuring data quality and integrity, and enabling advanced analytics capabilities. Your work will support various business functions, leading to improved decision-making, cost savings, and enhanced customer satisfaction.

At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.

ResponsibilitiesKey Responsibilities
  • Design and develop scalable and efficient data pipelines, data models, and data integration processes
  • Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs
  • Ensure data quality and integrity by implementing data validation and cleansing processes
  • Optimize data engineering processes and infrastructure to improve performance and efficiency
  • Stay updated on emerging data engineering technologies and best practices to drive innovation and continuous improvement
QualificationsYOU MUST HAVE
  • Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
  • 5+ years of experience in data engineering
  • Proficiency in data engineering tools and programming languages (e.g., Python, SQL, etc.)
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
WE VALUE
  • Advanced degree in Data Science, Computer Science, or a related field
  • Experience with big data technologies (e.g., Hadoop, Spark)
  • Strong problem-solving skills and the ability to translate complex data requirements into scalable solutions
  • Knowledge of data governance and data quality best practicesTHE BUSINESS UNIT Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more [here](https://www.honeywell.com/us/en/company/inclusion-and-diversity).

Skills Required

  • Bachelor's degree in a technical discipline (science, technology, engineering, mathematics)
  • 5+ years of experience in data engineering
  • Proficiency in data engineering tools and programming languages (e.g., Python, SQL)
  • Experience with cloud platforms (AWS, Azure, Google Cloud)
  • Advanced degree in Data Science, Computer Science, or related field
  • Experience with big data technologies (Hadoop, Spark)
  • Knowledge of data governance and data quality best practices
  • Strong problem-solving skills and ability to translate complex requirements into scalable solutions

The Aerospace Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Aerospace Corporation and has not been reviewed or approved by The Aerospace Corporation.

  • Retirement Support The 401(k) plan provides a company‑paid contribution of 8–12% based on years of service with immediate eligibility and vesting, and eligible employees can access retiree medical benefits.
  • Leave & Time Off Breadth Paid time off includes 15 vacation days (rising to 20 after five years), nine paid holidays, and unlimited sick time for exempt employees with accruals for non‑exempt staff.
  • Flexible Benefits Flexible work models include a 9/80 schedule with alternating Fridays off, supported by backup care services, an EAP, relocation assistance, and home‑office stipends where applicable.

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The Company
HQ: Chantilly, VA
4,600 Employees
Year Founded: 1960

What We Do

The space enterprise has been transformed by rapid change and growth. New vehicles for national security space, a more rapid launch cadence, proliferated satellite constellations, the pursuit of interplanetary exploration, and thriving commercial ventures are changing the nature of the space industry. The Aerospace Corporation (Aerospace) is a leading architect for U.S. space programs, shaping efforts to outpace threats to our national security while cultivating the technologies needed to further this new era of space commercialization and exploration. Aerospace works across the space enterprise in service of the public interest. In addition to supporting the Department of Defense and the Intelligence Community, our customers include NASA, NOAA, numerous federal agencies, and commercial space — all of whom benefit from our deep technical knowledge. We only pursue business related to the space mission and complementary fields, operating as the nation’s trusted partner to solve the toughest challenges and develop reliable and innovative technologies. Innovation in space occurs when people have the freedom to imagine and do. At Aerospace, we take pride in our readiness to solve some of the most complex challenges in the space enterprise.

Why Work With Us

We are a non-profit corporation chartered by the government to work on the hardest problems in space. We employ technical experts in every discipline of space-related science and engineering who touch every part of the US space program. Come join us as we make an impact bigger than ourselves.

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