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Manager- Data Engineer

Manager- Data Engineer

Evalueserve

6 - 9 years

0 - 2 Lacs

Bengaluru

Posted:2 hours ago| Platform:

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Skills Required

css data management investment banking data warehousing numpy bootstrap dashboards artificial intelligence jquery sql analytics java html etl graphql apis query management snowflake rest python microsoft azure data engineering grpc javascript pandas data bricks excel

Work Mode

Work from Office

Job Type

Full Time

Job Description

Manager- Data Engineer:

Elevate Your Impact Through Innovation and Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance.

About Corporate and Investment Banking & Investment Research (CIB & IR)

As a global leader in knowledge processes, research, and analytics, youll be working with a team that specializes in global market research, working with the top-rated investment research organizations, bulge bracket investment banks, and leading asset managers. We cater to 8 of the top 10 global banks, working alongside their product and sector teams, supporting them on deal origination, execution, valuation, and transaction advisory -related projects.

What you will be doing at Evalueserve

Constructanalytical dashboards from alternative data use cases, such as sector orthematic and financial KPI dashboards.

Load andimport data into internal warehouses through Azure Blob Storage and/or S3deliveries, SFTP, and other ingestion mechanisms.

Designand implement ETL workflows for preprocessing of transactional and aggregateddatasets including complex joins, window functions, aggregations, bins andpartitions.

Manipulateand enhance time series datasets into relational data stores.

Implementand refine panels in transactional datasets and relevant panel normalization.

Conduct webscraping, extraction and post-processing of numerical data from web-baseddatasets.

What were looking for

Previousexperience working within fundamental equity investment workflows, such asexposure to financial modeling.

Highproficiency in SQL and the Python data stack (pandas, numpy, sklearn).

Experienceworking with scheduling and execution platforms, such as Airflow, Prefect, orsimilar scheduled DAG frameworks.

Understandingof efficient query management in Snowflake, DataBricks, or equivalentplatforms.

Optionalfamiliarity with automation of workflows that produce Excel outputs, such asthrough openpyxl.

Optionalfamiliarity with integrations and import/exports to REST/gRPC/GraphQL APIs.

Security:This role is performed in a dedicated, secure workspace

Travel:Annual travel to the U.S. for onsite collaboration is expected.

Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud.

How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities .

Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024!

Want to learn more about our culture and what its like to work with us?

Write to us at: careers@evalueserve.com

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

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Manager- Data Engineer