HP Hiring: Data Engineer – Bengaluru | Apply Now Is Hiring HP Hiring: Data Engineer – Bengaluru | Apply Now in Not Specified – Apply Now

HP Data Engineer Jobs are available in Bengaluru, Karnataka, India, for candidates with experience in data engineering, data analytics, data modeling, data pipelines, and related technologies.

HP is looking for a Data Engineer who can design and develop secure, reliable, and high-performing data solutions. The role involves working with structured and unstructured data, improving data quality, developing data pipelines, and supporting data architecture.

Candidates will collaborate with data engineers and cross-functional teams to build reliable and cost-effective solutions. The position also requires strong analytical and problem-solving skills to identify data inaccuracies, analyze trends, and develop automated solutions.

The HP Data Engineer Jobs opportunity is suitable for professionals with typically 4–7 years of work experience in data analytics, data engineering, data modeling, or related fields. Candidates with an advanced degree and typically 3–5 years of relevant experience may also be considered.

In addition, HP is seeking candidates with experience in modern data technologies and tools. Knowledge of Python, SQL, cloud platforms, big data technologies, ETL, data warehousing, and data pipelines is relevant to this opportunity.

The role also highlights AI and digital capabilities. Candidates may work with AI or Generative AI solutions, including technologies such as Copilot, chatbots, prompt engineering, and automation use cases.

• Design and establish secure and high-performing data architectures for structured and unstructured data.
• Develop enhancements, updates, programming changes, and components for data pipelines, repositories, and data models.
• Analyze requirements and determine coding, programming, and integration activities based on overall solution architecture.
• Write and execute testing plans, protocols, and documentation for assigned data systems and components.
• Identify, debug, and resolve issues related to code and integration within the data system architecture.
• Collaborate with other data engineers to develop reliable, cost-effective, and high-quality data solutions.
• Analyze data inaccuracies and identify opportunities to improve enterprise data quality.
• Support the development of automated solutions for improving data quality and reporting processes.
• Research problematic data areas and determine appropriate solutions.
• Identify, analyze, and interpret trends and patterns in complex datasets.
• Work with different departments to assess, define, and develop reporting deliverables.
• Represent the data engineering team during different phases of larger and more complex development projects.
• Provide guidance and mentoring to less experienced team members.

• Education: Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics, Mathematics, or a related discipline. Equivalent work experience or demonstrated competence may also be considered.
• Experience: Typically 4–7 years of experience in data analytics, data engineering, data modeling, or a related field. Candidates with an advanced degree may typically require 3–5 years of work experience.
• Technical Skills: Python, SQL, data extraction, transformation, validation, reporting, Power BI, advanced Excel, Power Automate, ETL, data pipelines, and data warehousing.
• AI & Automation Skills: Experience developing AI or GenAI solutions, including Copilot, chatbots, prompt engineering, and automation use cases.
• Big Data Skills: Apache Hadoop, Apache Kafka, Apache Spark, big data, and scalable data systems.
• Cloud Knowledge: Amazon Web Services and Microsoft Azure.
• Programming Knowledge: Python, SQL, Java, and Scala.
• Data Skills: Data analysis, data engineering, data modeling, data pipelines, and ETL.
• Industry Knowledge: Agile methodology and enterprise data systems.
• Soft Skills: Strong communication, presentation, interpersonal, analytical, and problem-solving skills.
• Additional Requirements: Collaborative mindset, growth mindset, innovative thinking, and out-of-the-box thinking abilities.

Preferred Certifications

• Programming certification in SQL, Python, or a similar programming language.

• Candidates should have a relevant four-year degree or graduate degree in a related discipline.
• Equivalent work experience or demonstrated competence may also be considered.
• Candidates typically should have 4–7 years of experience in data analytics, data engineering, data modeling, or a related field.
• Candidates with an advanced degree typically may have 3–5 years of relevant work experience.
• Applicants should have strong analytical and problem-solving skills.
• Knowledge of data engineering, data pipelines, ETL, data warehousing, and data analysis is relevant to the role.
• Experience with Python, SQL, cloud technologies, and big data tools is beneficial.
• Candidates should demonstrate strong communication and collaboration skills.

• Date Posted: Posted 6 Days Ago
• Last Date to Apply: Not Specified

Candidates can use the application link provided below to submit their applications. Make sure to review the eligibility criteria and complete the application before the deadline.

Q1 What is the salary for the Data Engineer position?

The salary for this Data Engineer position has not been disclosed in the official job description.

Q2: Who can apply for this job?

Candidates with a relevant four-year or graduate degree and typically 4–7 years of experience in data analytics, data engineering, data modeling, or a related field can apply. Equivalent work experience or demonstrated competence may also be considered.

Q3: Is this job remote or on-site?

The official job description does not specify whether the position is remote, hybrid, or on-site. The listed job location is Bengaluru, Karnataka, India.

Q4: What qualifications are required?

Candidates should have a four-year or graduate degree in Computer Science, Information Technology, Software Engineering, Statistics, Mathematics, or another related discipline. Equivalent work experience or demonstrated competence may also be considered.

Q5: What skills are required for this role?

The role requires knowledge of data engineering, data analysis, data modeling, ETL, data pipelines, data warehousing, Python, SQL, cloud technologies, and big data tools. The official job description also mentions Agile methodology, Apache Hadoop, Apache Kafka, Apache Spark, AWS, Microsoft Azure, Java, Scala, and machine learning.

Q6: How can I apply for this job?

Candidates can click the Apply Now button and complete the application through the official application page.

Q7: What is the last date to apply?

The last date to apply is Not Specified.