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IBM is hiring for a fresher entry level Data Engineer role in India



Position:

  • Data Engineer - Data Integration

Company:

  • IBM India Private Limited

Location:

  • Pune, Maharashtra, India

Job Type:

  • Fixed Term (Fixed Term)

Job Mode:

  • Hybrid

Job Requisition ID:

  • 14894

Years of Experience:

  • Entry-Level Position

Company Description:

  • IBM is a globally recognized leader in technology and consulting services, with a legacy spanning over a century.

  • The company specializes in AI, hybrid cloud computing, and enterprise solutions that drive digital transformation.

  • IBM Consulting, a subsidiary of IBM, delivers cutting-edge business and technology solutions across diverse industries.

  • IBM prides itself on innovation, collaboration, and sustainable business practices, focusing on creating meaningful impact through technology.

  • The organization fosters a growth-oriented work environment, encouraging employees to learn, experiment, and contribute to transformative projects.

  • IBM Consulting’s Client Innovation Centers serve as a hub of technical expertise, supporting clients in both the public and private sectors.

  • The company values responsibility, ethical AI, and technology adoption that positively influences businesses and communities worldwide.

  • Employees at IBM benefit from continuous learning opportunities, leadership development programs, and a culture that promotes inclusion and diversity.

  • With a strong presence in over 170 countries, IBM is a trusted partner for some of the most influential Fortune 50 companies.

  • The company remains at the forefront of AI, blockchain, quantum computing, and cloud technologies, consistently pioneering advancements in the tech industry.

Profile Overview:

  • The Data Engineer - Data Integration role at IBM involves designing, developing, and optimizing data engineering solutions for business applications.

  • The position requires expertise in building data models, ETL (Extract, Transform, Load) workflows, and data pipelines tailored to business needs.

  • This role will be based in IBM Consulting’s Client Innovation Centers, working with global clients across various industries.

  • A data engineer in this capacity ensures seamless integration of structured and unstructured data sources into analytics platforms.

  • The candidate will work closely with data architects, analysts, and business stakeholders to translate business requirements into scalable data solutions.

  • The job involves configuring, managing, and enhancing data infrastructure to support high-performance analytics.

  • The role also entails ensuring security, accessibility, and integrity of data, aligning with best industry practices and regulatory guidelines.

  • Candidates should be adept at troubleshooting data issues, optimizing performance, and maintaining efficient workflows.

  • Collaboration with cross-functional teams is a key aspect, ensuring data is available and actionable for business decision-making.

  • The role offers opportunities for professional growth, exposure to advanced data technologies, and hands-on experience in enterprise data management.

Qualifications:

Educational Requirements:

  • Required: Bachelor’s Degree in Computer Science, Information Technology, Data Science, or related field.

  • Preferred: Master’s Degree in Data Engineering, Artificial Intelligence, or related domain.

Technical Skills & Expertise:

  • Strong expertise in Ab Initio, including developing, maintaining, and optimizing ETL workflows.

  • Ability to design and implement data integration solutions using industry best practices.

  • Experience in handling large-scale structured and unstructured datasets across multiple sources.

  • Proficiency in SQL and database management for efficient data processing and storage.

  • Knowledge of cloud computing platforms such as AWS, Azure, or IBM Cloud is advantageous.

  • Hands-on experience with big data technologies like Hadoop, Spark, and Kafka.

  • Understanding of data modeling and database optimization techniques.

  • Experience in implementing data validation and quality assurance processes within Ab Initio.

  • Ability to troubleshoot, optimize, and fine-tune ETL processes for improved efficiency.

  • Proficiency in scripting languages like Python, Shell scripting, or Java.

Preferred Technical and Professional Experience:

  • Expertise in optimizing Ab Initio graphs to enhance performance and reduce resource utilization.

  • Strong collaboration skills, with experience working alongside data analysts, database administrators, and quality assurance teams.

  • Ability to document processes, best practices, and technical solutions to improve team efficiency.

  • Prior exposure to agile methodologies and DevOps practices in data engineering.

  • Hands-on experience in automating ETL workflows to improve efficiency and scalability.

  • Experience in working with distributed data processing frameworks and parallel computing.

  • Knowledge of containerization technologies like Docker and Kubernetes for data engineering applications.

  • Strong analytical skills to assess business needs and translate them into effective data solutions.

  • Experience in data security, encryption, and access control policies for secure data management.

  • Ability to train and mentor junior data engineers in best practices and emerging technologies.

Additional Info:

Role-Specific Responsibilities:

  • Develop, manage, and maintain data pipelines and ETL workflows for seamless data integration.

  • Optimize data infrastructure to support growing business requirements.

  • Ensure data accessibility for analysts and data scientists while maintaining security and governance standards.

  • Work with cross-functional teams to design and deploy scalable data solutions.

  • Participate in code reviews, system audits, and performance evaluations to enhance overall efficiency.

  • Provide technical expertise and recommendations to improve business intelligence initiatives.

  • Monitor system performance, troubleshoot issues, and implement proactive measures for data reliability.

  • Document data engineering best practices, workflows, and troubleshooting guidelines.

  • Evaluate emerging data technologies and tools for continuous improvement in data engineering.

  • Collaborate with leadership to define data strategies and innovation roadmaps for long-term success.

Work Environment & Culture:

  • Employees at IBM Consulting enjoy a dynamic and growth-focused work environment.

  • IBM fosters a culture of continuous learning, with opportunities for professional development and leadership training.

  • The company promotes a collaborative and inclusive workplace, ensuring diverse perspectives are valued.

  • Employees are encouraged to experiment, innovate, and contribute to high-impact projects.

  • IBM’s flexible work environment, including hybrid work arrangements, supports work-life balance.

  • The organization values ethical AI, responsible data use, and sustainability initiatives in all projects.

  • Team members have access to cutting-edge tools, resources, and mentorship programs for career progression.

  • IBM offers global exposure, enabling employees to work with international teams and industry leaders.

  • Regular tech talks, hackathons, and skill-building workshops help employees stay ahead in the competitive industry.

  • Employees are empowered to take ownership of projects, fostering a sense of accountability and leadership.

IBM’s Vision & Mission:

  • IBM is committed to leveraging technology for social good, ensuring innovation benefits businesses and communities alike.

  • The company continuously reinvents itself, pioneering advancements in cloud computing, AI, and blockchain.

  • IBM’s mission is to enable organizations to unlock the power of data, making informed decisions and driving business growth.

  • IBM’s culture thrives on collaboration, excellence, and customer success, making it a trusted global technology partner.

  • The organization remains focused on advancing AI responsibly, ensuring fairness, transparency, and ethical considerations in AI-driven solutions.

  • IBM Consulting aims to empower clients with next-generation technology solutions, driving innovation and efficiency.

  • The company values sustainability and corporate responsibility, integrating green technology solutions into its global operations.

  • IBM fosters a community of curious, growth-minded professionals who embrace challenges and continuously push technological boundaries.

  • The company’s commitment to talent development ensures employees have access to industry-leading training and career advancement opportunities.

  • With a customer-centric approach, IBM delivers tailored technology solutions that enable businesses to thrive in an ever-evolving digital landscape.

Please click here to apply.

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