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Deloitte Touche Tohmatsu Limited, commonly referred to as Deloitte, is an international professional services network headquartered in London, England. The firm was founded by William Welch Deloitte in London in 1845 and expanded into the United States in 1890. Deloitte provides audit, consulting, financial advisory, risk advisory, tax, and legal services with approximately 415,000 professionals globally. In FY 2021, the network earned revenues of US$50.2 billion in aggregate.
Deloitte Recruitment :
| Company Name | Deloitte |
|---|---|
| Post Name | Data Engineer |
| Estimated Salary | up to ₹ 12 LPA* |
| Work Location | Across India |
| Batch | 2023/22/21/20/19 |
Job Description:
The Deloitte Managed Services & Products practice launched a new service in the forensics space to detect fraud, waste, and abuse in various industries. The Anti-Fraud Waste and Abuse solution (“AFES”) continues to increase the capacity, quality, and efficiency of the Deloitte forensic processing by utilizing state-of-the-art technology and machine learning in a dedicated environment. We have an urgent need for a Data Engineer to join the Deloitte Analytic & Forensic Technology practice and extend our application and contribute to our cutting-edge data architecture.
Eligibility:
- 2023/22/21/20/19
- 0-2 years of work experience
- Freshers are eligible
- B.E/ B.Tech/ M.E/ M.Tech
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Job Responsibilities:
- Develop solutions with an Agile Development team.
- Define, produce, test, review, and debug solutions.
- Create component-based features and micro-frontends.
- Database development with Postgres
- Create comprehensive unit test coverage in all layers.
- Deploy solutions to Docker containers and Kubernetes.
- Help build a team culture of autonomy and ownership.
- Work with a Product Owner to refine stories into functional use cases and identify the work effort as tasks.
- Participate in test case creation responsibilities and peer reviews prior to coding.
- Review the implementation plans of peers prior to their coding.
- Demonstrate feature work at the end of each iteration.
- Work from home when desired with infrequent visits to the office and limited travel for planning sessions.
- Develop our ETL process to be a robust automated production quality solution and lead the implementation and delivery.
- Peer with the application engineering team to ensure our data model fits the need of the solution while promoting best practices in its design from both a maintenance and performance perspective.
- Peer with the data science team in understanding their needs for preparing large datasets for machine learning.
Skills Required :
- Strong knowledge of Python & SQL.
- Hands-on experience with SQL database design
- Hands-on experience or Knowledge about Airflow.
- Knowledge of Docker and Kubernetes
- Experience with running containerized microservices.
- Experience with Apache Spark or AWS EMR.
- Experience with cloud platforms (AWS, Azure) with strong preference towards AWS.
- Experience in Database design practices
- Technical expertise with Data warehouse or Data Lake
- Expertise in configuring and maintaining PostgreSQL.
- Experience performance tuning queries and data models to produce the best execution plan.
- Strong experience building data pipelines & ETL.
- Experience working on an Agile Development team and delivering features incrementally.
- Experience with Git repositories
- Working knowledge of setting up builds and deployments
- Experience with both Windows and Linux.
How to Apply?
- As always, read the information provided on this page first.
- After reading, scroll down and click on the apply link.
- You will be redirected to usijobs.deloitte.com official website.
- Enter all the required details.
- After entering the details check them and submit the application.
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