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Principal Data Engineer

DXC Technology -
Bengaluru, Karnataka

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Job details

Full-time
14 hours ago

Qualifications

Spring Boot
CI/CD
Performance tuning
Azure
Oracle
Computer Science
JUnit
Software troubleshooting
Big data
Software deployment
Spark
Apache Hive
Java
SQL
AWS
Electrical experience
Machine learning
PostgreSQL
Scala
Continuous integration
REST
Software development
APIs
Agile
Communication skills
Python
Spring framework
Shell Scripting
Debugging
Hadoop

Full job description

Job Description:

Role :

Drive the evolution of Data & Services products/platforms with an impact-focused on data engineering.
Design and implement scalable data architecture and data pipelines.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test and experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
Mentor junior colleagues on relevant technical and product trends through training classes
Participate in the development of data and analytic infrastructure for product development
Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations.
Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve.
Evaluate trade-offs between many analytics solutions to a problem, considering usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.
Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders.
Evangelize releases to users, incorporating feedback, and tracking usage to inform future development.
Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.

Work with small, cross-functional teams to define the vision, establish team culture and processes.
Consistently focus on key drivers of organization value and prioritize operational activities accordingly.

Escalate technical errors or bugs detected in project work
Maintain awareness of relevant technical and product trends through self-learning/study, training classes, and job shadowing.

Ideal Candidate Qualifications:

Working proficiency in using Python/Scala, Spark (tuning jobs), SQL, Hadoop platforms to build Big Data products & platforms.
Good programming skills in Java, spring boot and Junit. Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
Knowledge in software development test approaches & frameworks
Familiarity with RESTful APIs and micro-services architectures
Experience in working with CI/CD.

Consistently focus on key drivers of organization value and prioritize operational activities accordingly.

Experience in working with Cloud APIs (e.g., Azure, AWS)
Experience in working with SQL database like Postgres, Oracle
Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark)
Experience with data pipeline and workflow management tools: NIFI, Airflow.
Comfortable in developing shell scripts for automation.
Good troubleshooting and debugging skills.
Proficient in standard software development, such as version control, testing, and deployment
Demonstrated knowledge of coding and data engineering.
Ability to quickly learn and implement new technologies.
Ability to Solve complex problems with multi-layered data sets.
Ability to innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations.
Ability to multi-task and strong attention to detail
Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
Good communication skills - both verbal and written – and strong relationship, collaboration skills, and organizational skills
Degree in Computer Architecture, Computer Science, Electrical Engineering or equivalent experience

The following skills will be considered as a plus.

Experience participating in complex engineering projects in an Agile setting e.g. Scrum

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.

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Principal Data Engineer

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