Deloitte | India Offices of the US

Strategy & Analytics

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

AI & Data will work with our clients to:

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Amazon Web Services

Qualifications:

• 3-9 Years of technology Consulting experience
• A minimum of 2 Years of experience in Cloud Operations
• High degree of knowledge using AWS services like lambda, GLUE, S3, Redshift, SNS, SQS and more.
• Strong scripting experience with python and ability to write SQL queries and string analytical skills.
• Experience working on CICD/DevOps is nice to have.
• Proven experience with agile/iterative methodologies implementing Cloud projects.
• Ability to translate business requirements and technical requirements into technical design.
• Good knowledge of end to end project delivery methodology implementing Cloud projects.
• Strong UNIX operating system concepts and shell scripting knowledge
• Good knowledge of cloud computing technologies and current computing trends.
• Effective communication skills (written and verbal) to properly articulate complicated cloud reports to management and other IT development partners.
• Ability to operate independently with clear focus on schedule and outcomes.
• Experience with algorithm development, including statistical and probabilistic analysis, clustering, recommendation systems, natural language processing, and performance analysis

Google Cloud Platform - Data Engineer

Qualifications:

• BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience.
• 3-9 years of relevant consulting, industry or technology experience
• Experience in Cloud SQL and Cloud Bigtable
• Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics
• Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer
• Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume).
• Experience working with technical customers.
• Experience in writing software in one or more languages such as Java, C++, Python, Go and/or JavaScript.
• Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
• Experience in technical consulting.
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Google Cloud Platform (mandatory) and AWS/Azure(good to have)
• Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, Kafka,NPL, MongoDB, SparkML, Tensorflow).           
• Working knowledge of ITIL and/or agile methodologies

PySpark

Qualifications:

• Education: B.Tech/M.Tech/MCA/MS 
• 3-9 years of experience in design and implementation of migrating an Enterprise legacy system to Big Data Ecosystem for Data Warehousing project.    
• Must have excellent knowledge in Apache Spark and Python programming experience 
• Deep technical understanding of distributed computing and broader awareness of different Spark version 
• Strong UNIX operating system concepts and shell scripting knowledge 
• Hands-on experience using Spark & Python 
• Deep experience in developing data processing tasks using PySpark such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations. 
• Experience in deployment and operationalizing the code, knowledge of scheduling tools like Airflow, Control-M etc. is preferred  
• Working experience on AWS ecosystem, Google Cloud, BigQuery etc. is an added advantage Hands on experience with AWS S3 Filesystem operations 
• Good knowledge of Hadoop, Hive and Cloudera/ Hortonworks Data Platform 
• Should have exposure with Jenkins or equivalent CICD tool & Git repository  
• Experience handling CDC operations for huge volume of data  
• Should understand and have operating experience with Agile delivery model 
• Should have experience in Spark related performance tuning  
• Should be well versed with understanding of design documents like HLD, TDD etc 
• Should be well versed with Data historical load and overall Framework concepts 
• Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing, etc 

Python Developer

Qualifications:

• 3-9 Years of technology Consulting experience
• A minimum of 2 Years of experience into Unit testing and debugging skills
• Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations.
• Lambda Functions, Decorators.
• Vector operations on Pandas data frames /series.
• Application of applymap, apply, map functions.
• Understanding on using a framework based on specific needs and requirements.
• Understanding of the threading limitations of Python, and multi-process architecture
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Good Understanding of fundamental design principles behind a scalable application
• Good Understanding of accessibility and security compliance
• Familiarity with event-driven programming in Python
• Proficient understanding of code versioning tools ( Git, Mercurial or SVN)
• Knowledge of PowerShell and SQL Server
• You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets
• You have an eye for detail, good data intuition, and a passion for data quality
• Gooed Knowledge of user authentication and authorization between multiple systems, servers, and environments

Primary Skills (Must Have)

• Python and data analysis libraries (Pandas, NumPy, SciPy).
• Django
• DS/Algo
• SQL (Read & Write)
• CRUD
• Awareness of Microservices

Data Scientist

Qualifications

• Experience in descriptive & predictive analytics
• Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred.
• Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle
• Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG)
• Strong understanding of text pre-processing & normalization techniques such as tokenization
• Strong knowledge of Python is a must
• Strong SQL querying skills & data processing using Spark
• Hands on experience in data mining with Spark
• String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc.
• Good understanding of Hadoop ecosystem

Full Stack Developer:

Qualifications

• A Bachelor’s degree and 3.5 till 10 years of front end design experience are required.
• Available portfolio of in-market examples of successful user interface design, focused on web or mobile.
• Expertise in designing interactive user interfaces and web interface details for various mobile and interactive platforms.
• Demonstrated experience using HTML5, CSS, and Adobe CS tools.
• Ability to work well in teams while independently managing all of the design components related to a given project.
• Communicates clearly and concisely, both written and verbal.
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
• Experience designing interfaces for wearable technology.
• Experience in animation and videography.
• Experience in data visualization using Tableau or a comparable BI tool.
• Experience with Spotfire, Qlikview, D3, R, SPSS, SAS.
• Graduate degree with a major in Human Computer Interaction or a closely-related design field.

Additional Qualifications (for experienced candidates)

• Professional/Internship experience working in one or more of the following analytics domains: Customer & Growth, Supply Chain, Finance, Risk, and Workforce
• Familiarity with Spark and Hadoop/MapReduce
• Good experience in working with very large-scale data
• Familiarity with modeling and programming with both Windows/UNIX based operating systems