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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