Deloitte Bulk Recruitment of Freshers and
Experienced Data Engineers – Multiple Locations Across India | CTC 8 to 15 LPA
Position Summary
Job title: Devops Engineer Consultant or Sr.
Consultant
About
At Deloitte, we do not offer
you just a job, but a career in the highly sought-after risk Management field.
We are one of the business leaders in the risk market. We work with a vision to
make the world more prosperous, trustworthy, and safe. Deloitte’s clients,
primarily based outside of India, are large, complex organizations that
constantly evolve and innovate to build better products and services. In the
process, they encounter various risks and the work we do to help them address
these risks is increasingly important to their success—and to the strength of
the economy and public security.
By joining us, you will get to
work with diverse teams of professionals who design, manage, and implement
risk-centric solutions across a variety of domains. In the process, you will
gain exposure to the risk-centric challenges faced in today’s world by
organizations across a range of industry sectors and become subject matter
experts in those areas.
Our Risk and Financial Advisory
services professionals help organizations effectively navigate business risks
and opportunities—from strategic, reputation, and financial risks to operational,
cyber, and regulatory risks—to gain competitive advantage. We apply our
experience in ongoing business operations and corporate lifecycle events to
help clients become stronger and more resilient. Our market-leading teams help
clients embrace complexity to accelerate performance, disrupt through
innovation, and lead in their industries. We use cutting-edge technology like
AI/ML techniques, analytics, and RPA to solve.
Deloitte’s clients‘most complex
issues. Working in Risk and Financial Advisory at Deloitte US-India offices has
the power to redefine your ambitions.
The Team
Regulatory & Legal Services
We help organizations in their
efforts to achieve regulatory and legal compliance and transform their
departments to add greater value to the business. We combine highly specialized
skills in discovery and data management, corporate investigations, Foreign
Corrupt Practices Act, and anti-fraud with financial acumen and advanced
analytics to produce transformative insights.
In today’s global marketplace,
organizations can become vulnerable to critical incidents that include
international corruption, financial crime, enterprise fraud, cybercrime, and
supply chain breakdowns. Utilizing market-leading technology to uncover latent
possibilities, our team advises clients on ways to mitigate exposure to these
threats and turn business issues into opportunities for growth, resilience, and
long-term advantage.
Our team is made up of software
engineers, data engineers, and data scientists collaborating to build the best
world class fraud detection analytics solutions and case management web
application.
Work you’ll do
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. Here are just some to the things you will do:
- 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 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.
- Assist the team with understanding the
execution plan of poorly written queries. Help remediate performance
problems by assisting the performance tuning of queries and/or refining
the data model to meet the needs of the business.
- Build data systems and pipelines.
- Evaluate business needs and objectives.
- Explore ways to enhance Product / pipeline.
- Collaborate with Team
- Showcase the Skills / Innovative ideas to Team
biweekly.
Required skills
- 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.
- Experience demonstrating work to peers and
stakeholders for acceptance
- Ability to multi-task, be adaptable, and nimble
within a team environment.
- Strong communication, interpersonal, analytical
and problem-solving skills.
- Ability to communicate effectively with
nontechnical stakeholders to define requirements.
- Ability to quickly understand new client data
environments and document the business logic that composes them.
- Ability to integrate oneself into
geographically dispersed teams and clients.
- A passion for high quality software. Previous
experience as a data engineer or in a similar role
- Eagerness to learn and seek new frameworks,
technologies, and languages
- Commitment to working with others and sharing
knowledge on a regular basis
Preferred skills
- Experience working with Azure DevOps, JIRA or
similar project tracking software.
- Experience working in a startup environment
- Experience with data streaming such as Apache
Kafka, AWS kinesis, Spark Streaming, or similar tools.
- Experience with many other big data
technologies at scale. Experience with BigQuery or similar (Redshift,
Snowflake, other MPP databases)
- Knowledge of when to use NOSQL versus
traditional RDBMS
- Experience with RDS in AWS a big plus.
- Kafka, RabbitMQ or similar queueing
technologies a plus.
- Experience with BI tools such as Tableau and
Jaspersoft.
Qualification
- B.Tech/M.Tech/MS/MBA
Recruiting tips
Finding the right job and
preparing for the recruitment process can be tricky. Check out tips from our
Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters.
Benefits
We believe that to be an
undisputed leader in professional services, we should equip you with the
resources that can make a positive impact on your well-being journey. Our
vision is to create a leadership culture focused on the development and
well-being of our people. Here are some of our benefits and programs to support
you and your family’s well-being needs. Learn more about what working at Deloitte can mean for you.
Click
Here To Apply for Deloitte
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