Senior Big Data Engineer

53 Minutes ago • 6 Years + • Data Analyst

About the job

Job Description

This Senior Big Data Engineer role involves managing analytics support for key initiatives within a large UK-based investment bank's CCIB portfolio. Responsibilities include ensuring timely, high-quality service delivery, continuous productivity improvement, managing data support for various initiatives, collaborating with technology teams to resolve production issues (data quality, security, refresh timeliness), working with business and technology teams on new functionality/technology integrations, providing analytics support across various business areas (customer acquisition, portfolio management, new product development), managing analysis and reporting across retail products/segments, interacting with metrics owners, providing development opportunities for staff, creating and maintaining optimal data pipeline architecture, assembling large datasets, identifying and implementing internal process improvements (automation, optimization, infrastructure redesign), and performing root cause analysis. The role requires strong analytical skills with unstructured datasets and experience with Hadoop, Hive, HBase, Kafka, Spark, SQL, database and data warehouse building and management, data pipelines, and message queuing.
Must have:
  • 6+ years relevant tech experience
  • Hands-on Hadoop & Big Data tech (Hive, HBase, Kafka, Spark)
  • Strong analytical skills with unstructured datasets
  • Strong SQL experience
  • Database & Data Warehouse building/management
  • Experience with data pipelines and datasets
  • Root cause analysis experience
Good to have:
  • Scala
  • Control M or similar scheduling tool
Project description

We've been engaged by a large UK Based Investment Bank in the Corporate, Commercial and Institutional Banking (CCIB) potfolio to work on the projects for managing analytics support for all the key initiatives of all segments/products .

Responsibilities

Ensuring quality service output, submitted in a timely manner and communicated effectively

Continuous Improvement in Productivity to the standards prescribed from time to time

Manage data & information support for all the key initiatives across Retail Bank supporting countries & group teams.

Work closely with technology on solutions to resolve identified production issues which are impacting existing infrastructure /solution covering data quality, data assurance, refresh timeliness, data security governance

To work closely with Business & Technology to review the integration of new functionality / technology implementation projects initiated

Extend analytics support spanning across entire gamut of business (Customer Acquisition, Portfolio Management, New Product Development)

Manage analysis & reporting across all Retail products/segments

Interact with metrics owners across various functions and get end to end understanding of the metrics and applicability of the same across various MI dashboards

Provide development opportunities through regular engagement, ensuring that all staff is aware of the opportunities available in order to help them succeed within their role

Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Skills

Must have

6+ years of relevant technology experience

Hands on Hadoop and Bigdata tech. , HIVE, HBase, Kafka, Spark

Strong analytic skills related to working with unstructured datasets.

Strong experience on SQL

Good Experience on Data Base & Data Ware house building and management

Exposure to data pipelines, architectures and data sets

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Working knowledge of message queuing, stream processing and highly scalable 'big data' data stores.

Nice to have

Scala

Good to have experience in Control M or any other scheduling tool

Other

Languages

English: C2 Proficient

Seniority

Senior

View Full Job Description

Add your resume

80%

Upload your resume, increase your shortlisting chances by 80%

About The Company

Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.

DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia (On-Site)

Bengaluru, Karnataka, India (On-Site)

Tamil Nadu, India (On-Site)

United States (Remote)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bucharest, Bucharest, Romania (On-Site)

Kyiv, Kyiv City, Ukraine (On-Site)

View All Jobs

Get notified when new jobs are added by Luxoft

Similar Jobs

The Walt Disney Company - Principal Machine Learning Engineer, Research - Ad Platforms

The Walt Disney Company, United States (On-Site)

Trimble  Inc  - SDET Engineer

Trimble Inc , India (Hybrid)

Warner Bros Discovery - Staff Software Engineer - Kafka (AMS Team),Bangalore

Warner Bros Discovery, India (On-Site)

The Walt Disney Company - Lead Software Engineer (Identity)

The Walt Disney Company, United States (On-Site)

Electronic Arts - Lead Data Scientist - Store Recommendations

Electronic Arts, Canada (On-Site)

SKF Group - Data Analytics Engineer

SKF Group, India (On-Site)

Duolingo - Data Scientist, Intern (PhD or Masters)

Duolingo, United States (On-Site)

Stonewall Collision & Auto Painting - Lead Data Scientist

Stonewall Collision & Auto Painting, India (On-Site)

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Playrix - Director of Engineering

Playrix, Portugal (Remote)

Chiselon Technologies   - Data Scientist( ML AI )

Chiselon Technologies , India (Hybrid)

Luxoft - Front-end Developer

Luxoft, India (On-Site)

Avathon - Software Engineer (Scala_Backend)

Avathon, India (On-Site)

The Walt Disney Company - Manager, Software Engineering - Ads Data Infrastructure and Devops

The Walt Disney Company, United States (On-Site)

Rec Room - Machine Learning Engineer

Rec Room, United States (Remote)

One97 Communications  - Data Science - Lead Data Scientist

One97 Communications , India (On-Site)

Get notifed when new similar jobs are uploaded

Jobs in Chennai, Tamil Nadu, India

IMAGE Creative Education - VFX Artist

IMAGE Creative Education, India (On-Site)

HK.Jewels - IOS Developer

HK.Jewels, India (On-Site)

Games2win - Sr Game Designer

Games2win, India (Remote)

Zoom - Endpoint Architect

Zoom, India (Hybrid)

The Starter Labs - Motion Graphic Designer

The Starter Labs, India (On-Site)

Village Talkies - 3D Modeling

Village Talkies, India (Remote)

PhonePe - Banking Business Operation

PhonePe, India (On-Site)

Get notifed when new similar jobs are uploaded

Data Analyst Jobs

Vi - Data Scientist

Vi, Israel (On-Site)

Netflix - Software Engineer (L4) - CKG

Netflix, United States (On-Site)

Postman - Senior Revenue Analyst

Postman, United States (On-Site)

Fanatee - BI Engineer

Fanatee, (Hybrid)

Ness Digital - Sr. Data Engineer

Ness Digital, India (Hybrid)

PhonePe - Manager Analytics - AML & Compliance

PhonePe, India (On-Site)

GoTo Group - Senior Data Scientist  (Singapore)

GoTo Group, Singapore (On-Site)

Zoox - Data Engineering, Content Internship/Co-op

Zoox, United States (On-Site)

Get notifed when new similar jobs are uploaded