Senior Data Engineer
GlobalLogic
Job Overview
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Job Description
About the Role
This Senior Data Engineer role at GlobalLogic requires a seasoned professional with extensive experience in Big Data technologies. You will be instrumental in architecting, building, and managing complex data platforms, ensuring robust data ingestion, processing, storage, and analytics capabilities. The position demands a strong technical background and the ability to lead and mentor team members.
Key Responsibilities
- Work directly with client teams to understand requirements and rapidly prototype data and analytics solutions based on business needs.
- Design, implement, and manage large-scale data platforms and applications, including ingestion, processing, storage, data access, data governance capabilities, and related infrastructure.
- Support the design and development of solutions for the deployment of data analytics notebooks, tools, dashboards, and reports to various stakeholders.
- Communicate effectively with Product, DevOps, Development, and QA teams.
- Architect data pipelines and ETL/ELT processes to connect with various data sources.
- Design and maintain enterprise data warehouse models.
- Take part in performance optimization processes.
- Guide on research activities (PoC) if necessary.
- Manage cloud-based data & analytics platforms.
- Establish best practices with CI/CD under Big Data scope.
Requirements
- Total of 7+ years of development/design experience, with a minimum of 5 years experience in Big Data technologies on-prem or on cloud.
- Experience with architecting, building, implementing, and managing Big Data platforms On Cloud, covering ingestion (Batch and Real-time), processing (Batch and Realtime), Polyglot Storage, Data Analytics, and Data Access.
- Good understanding of Data Governance, Data Security, Data Compliance, Data Quality, Meta Data Management, Master Data Management, Data Catalog.
- Proven understanding and demonstrable implementation experience of big data platform technologies on cloud (AWS and Azure), including surrounding services like IAM, SSO, Cluster monitoring, Log Analytics, etc.
- Experience working with Enterprise Data Warehouse technologies, Multi-Dimensional Data Modeling, Data Architectures, or other work related to the construction of enterprise data assets.
- Strong experience implementing ETL/ELT processes and building data pipelines, including workflow management, job scheduling, and monitoring.
- Experience building stream-processing systems, using solutions such as Apache Spark, Databricks, Kafka, etc.
- Experience with Spark/Databricks technology is a must.
- Experience with Big Data querying tools.
- Solid skills in Python.
- Strong experience with data modeling and schema design.
- Strong SQL programming background.
- Excellent interpersonal and teamwork skills.
- Experience to drive solution/enterprise-level architecture, collaborate with other tech leads.
- Strong problem-solving, troubleshooting, and analysis skills.
- Experience working in a geographically distributed team.
- Experience with leading and mentorship of other team members.
- Good knowledge of Agile Scrum.
- Good communication skills.
What We Offer
GlobalLogic prioritizes a culture of caring, offering an inclusive environment where you can build meaningful connections. We are committed to your continuous learning and development through various programs and opportunities. You'll engage in interesting and meaningful work, collaborating on cutting-edge solutions for global clients. We believe in balance and flexibility, offering diverse work arrangements to integrate work and life effectively. As a high-trust organization, integrity and candor are core to our values.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution, helping create some of the most innovative and widely used digital products and experiences. Today, we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Key skills/competency
- Big Data Technologies
- Cloud Platforms (AWS, Azure)
- Apache Spark
- Databricks
- Kafka
- Python
- SQL Programming
- ETL/ELT Processes
- Data Modeling
- Data Governance
How to Get Hired at GlobalLogic
- Research GlobalLogic's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your extensive experience in Big Data, cloud platforms (AWS, Azure), Spark/Databricks, and data pipeline architecture for this Senior Data Engineer role.
- Showcase technical depth: Prepare to discuss specific projects demonstrating your expertise in data modeling, SQL, Python, ETL/ELT, and stream processing systems during your GlobalLogic interview.
- Emphasize leadership and collaboration: Be ready to provide examples of how you've driven solutions, mentored team members, and worked effectively in geographically distributed agile teams at GlobalLogic.
- Align with company values: During interviews, articulate how your professional approach aligns with GlobalLogic's culture of caring, continuous learning, and high trust.
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