Job Description:
Latest job information from Delta Air Lines for the position of Data Engineer. If the Data Engineer vacancy in Bengaluru matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Delta Air Lines for the position of Data Engineer below matches your qualifications.
Responsibilities:
Data Pipeline Development and Maintenance:
- Design, build, and optimize scalable ETL/ELT pipelines to ingest data from diverse sources such as APIs, cloud platforms, and databases.
- Ensure pipelines are robust, efficient, and capable of handling large volumes of data.
Data Integration and Harmonization:
- Implement data transformation and enrichment processes to support analytics and reporting needs.
Data Quality and Monitoring:
- Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
- Troubleshoot and resolve issues related to data quality, latency, or performance.
Collaboration with Stakeholders:
- Partner with cross functional teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
- Provide technical support and guidance on data-related issues or projects.
Tooling and Automation:
- Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
- Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
Documentation and Best Practices:
- Document pipeline architecture, data workflows, and processes for both technical and non-technical audiences.
- Follow industry best practices for version control, security, and data governance.
Continuous Learning and Innovation:
- Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
- Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
What you need to succeed (minimum qualifications):
- Bachelor of Science degree in Computer Science or equivalent
- Extensive experience with databases and data platforms (AWS preferred)
- 2+ Hands-on experience in designing, implementing, managing large scale data and ETL solutions utilizing AWS Compute, Storage and database services (S3, Lambda, Redshift, Glue, Athena etc.,)
- Proficiency in Python, SQL, PySpark
- 2-3 years of post-degree professional experience as a data engineer developing and maintaining data pipelines
- Experience in Data Quality, Data Modeling, Data Analytics/BI, Data Enrichment, Security and Governance.
- Understanding of concepts such as normalization, SCD (Slowly changing dimensions) and CDC (Change data capture)
- Experience in working on streaming event platforms such as Kafka/Kinesis
- Strong knowledge of relational and non-relational databases
- Proficiency in DBT for data transformation and modeling.
- Good understanding of data warehouses, ETL/ELT, AWS architecture (using Glue, SQS, SNS, S3, step functions etc.,)
- Strong understanding of orchestration tools such as Airflow
- Ability to create clean, well-designed code and systems
- Proven ability to work with large and complex datasets
- Strong analytical and programming skills with the ability to solve data-related challenges efficiently
- Strong attention to detail and a commitment to data accuracy.
- Proven ability to learn new data models quickly and apply them effectively in a fast-paced environment.
- Excellent communication skills with the ability to present complex data findings to both technical and non-technical audiences.
- Ability to work collaboratively in a team environment.
Behavioral Competencies:
- Ability to work in collaborative environments and embrace diverse perspectives.??
- Communicate clearly and concisely, express thoughts and ideas effectively, and embrace cultural differences with respect when engaging with others.?
- Ability to engage effectively with peers and stakeholders to build strong partnerships.?
- Prioritize, maintain focus, and consistently deliver commitment.?
- Proactively understand customer expectations and willingness to create customer-based solutions.?
What will give you a competitive edge (preferred qualifications):
- Experience working with AWS to develop data pipelines
- AWS certifications: Solution Architect or Developer Associate
- Experience migrating data pipelines and systems to modern cloud-based solutions
ID: DELRM06
Job Info:
- Company: Delta Air Lines
- Position: Data Engineer
- Work Location: Bengaluru
- Country: IN
How to Submit an Application:
After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Engineer at the office Bengaluru above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
Next Page »