Manager-Data Engineer|Pune

Line of Service.

Advisory.

Industry/Sector.

Not Applicable.

Specialism.

Data, Analytics & AI.

Management Level.

Manager.

Job Description & Summary.

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data.

Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Roles & Responsibilities.

Designing and developing ETL Workflows using modern coding and testing standards.

Participating in our agile ceremonies and actively driving towards the teams goals.

Working collaboratively with a global team of technologists.

Leading with ideas and innovation.

Managing communication and partnering with our end users to design solutions.

Required Skills:.

Must have: Total experience required 6-10 years (relevant experience minimum 5 years).

5 years of proven project experience in Python scripting in Data Engineering (Experience in.

building and optimizing data pipelines, architectures, and data sets).

3+ Years of experience in Pyspark scripting including architecture framework of spark.

3-5 years of experience in Databases including Schema Design, SQL, Stored Procedures, Triggers.

and Performance Tuning (Good to have Sybase).

Strong understanding of Unix Environment and batch scripting languages (shell/Python).

Strong engineering skills with ability to understand existing system designs and enhance or.

migrate them.

Excellent analytical ability and problem-solving skills.

Strong collaboration and communication skills.

Excellent Design skills (Design Patterns).

Good To Have:.

Working knowledge on Java.

Experience in reporting tools such as Business Objects.

Good understanding of developing ETL processes using Informatica or any other ETL Tools.

Familiarity with XML or other mark-up languages.

Experience working with Source Code Management solutions (eg.

Git).

Familiarity with standard Agile & DevOps methodology & tools Jenkins, Sonar, Jira.

Knowledge of Investment Management Business.

Mandatory Skill Set-5 years of proven project experience in Python scripting in Data Engineering.

Preferred Skill Set-Working Knowledge On Java.

Year of experience required-6 to 10 years.

Qualifications-Graduate Engineer Or Management Graduate.

Education (if blank, degree and/or field of study not specified).

Degrees/Field Of Study Required:.

Degrees/Field of Study preferred:.

Certifications (if blank, certifications not specified).

Required Skills.

Data Engineering, Python (Programming Language).

Optional Skills.

Java.

Desired Languages (If blank, desired languages not specified).

Travel Requirements.

Not Specified.

Available for Work Visa Sponsorship.

No.

Government Clearance Required.

No.

Job Posting End Date.