Bangalore DATA ENGINEER I KA _

Job description

We are seeking an entry-level Data Engineer I to join the Information Technology function within the Data Engineering & Architecture job family. This role is designed for a 2026 graduate with a bachelor's degree in Artificial Intelligence and Machine Learning or a closely related discipline. The position will support the design, development, testing, and operation of reliable data pipelines and curated data products used for analytics, reporting, and AI/ML solutions. The ideal candidate combines strong programming and SQL fundamentals with curiosity, structured problem-solving, attention to data quality, and a willingness to learn modern cloud data engineering practices in a collaborative environment. Roles & Responsibility: Assist in developing, testing, deploying, and monitoring batch and near-real-time data pipelines under the guidance of senior data engineers and architects. Ingest, transform, and integrate structured and semi-structured data from databases, files, APIs, enterprise applications, and cloud platforms. Write clear, efficient, and maintainable SQL and Python code for data extraction, transformation, validation, and automation. Support the creation of reusable ETL/ELT components, data models, and curated datasets for analytics, reporting, and AI/ML use cases. Implement data quality checks covering completeness, validity, consistency, uniqueness, and timeliness; investigate and help resolve data issues. Prepare, clean, label, and version datasets required for machine-learning experimentation and model lifecycle activities. Work with data scientists, analysts, application teams, and business stakeholders to understand data requirements and translate them into technical tasks. Create and maintain technical documentation, source-to-target mappings, data dictionaries, lineage information, operating procedures, and support notes. Use version control, code reviews, testing, and CI/CD practices to deliver reliable and traceable data engineering changes. Assist with operational monitoring, incident analysis, root-cause identification, and continuous improvement of pipeline performance and reliability. Follow enterprise requirements for data security, privacy, access control, retention, and responsible use of data and AI. Continuously build knowledge of data engineering, cloud services, data architecture, analytics, and AI/ML technologies. What should your background look like: Bachelor's degree in Artificial Intelligence & Machine Learning, Computer Science, Data Science, Information Technology, or a related engineering discipline, graduating in 2026. Strong academic or project-based foundation in Python and SQL, including data structures, object-oriented programming, query design, joins, aggregations, and performance basics. Understanding of relational databases, data warehousing concepts, dimensional modeling, normalization, and ETL/ELT fundamentals. Working knowledge of data-processing libraries such as pandas and NumPy, along with basic familiarity with scikit-learn or equivalent ML frameworks. Exposure through coursework, internship, certification, hackathon, or projects to at least one cloud platform such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform. Familiarity with Git or another version-control system and basic understanding of software development, unit testing, and CI/CD practices. Basic knowledge of data formats and interfaces such as CSV, JSON, Parquet, REST APIs, and file-based data exchange. Awareness of distributed data-processing or orchestration technologies such as Apache Spark, Databricks, Airflow, Azure Data Factory, or equivalent tools is preferred. Understanding of data quality, metadata, data lineage, security, privacy, and responsible AI principles. Demonstrated ability to learn quickly, analyze problems logically, communicate clearly, and collaborate effectively in a team. Academic project, internship, or portfolio demonstrating an end-to-end data pipeline, data platform, analytics solution, or ML data preparation workflow is preferred. Candidates should be able to explain their individual contribution to academic, internship, or portfolio projects and the engineering decisions made. Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork ABOUT TE CONNECTIVITY TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! • Competitive Salary Package • Performance-Based Bonus Plans • Health and Wellness Incentives • Employee Stock Purchase Program • Community Outreach Programs / Charity Events • Employee Resource Group IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site. Job Locations: Posting City: bangalore Job Country: India Travel Required: None Requisition ID: 161077 Workplace Type: Hybrid External Careers Page: Information Technology Apply Now Start apply with LinkedIn Please wait... 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