Job Description

Lead Assistant ManagerEXL/LAM/847640

• ServicesGurgaon

• 
  
  
  Required Experience
  2 - 6 Years
  
  
  Posted On
  04 Oct 2023

Basic Section


Number Of Positions
1

Band
B2

Band Name
Lead Assistant Manager

Cost Code
D005918

Campus/Non Campus
NON CAMPUS

Employment Type
Permanent

Requisition Type
New

Max CTC
1000000 - 1800000 P.A

Complexity Level
Not Applicable

Work Type
Hybrid \xe2\x80\x93 Working Partly From Home And Partly From Office


Organisational


Group
Analytics

Sub Group
Retail Media & Hi-Tech

Organization
Services

LOB
Services

SBU
Analytics

Country
India

City
Gurgaon

Center
EXL - Gurgaon Center 38



Skills

Skill
SQL DATA ENGINEER PYTHON
Minimum Qualification
BACHELOR\'S DEGREE
Certification No data available




Job description (Data Engineer)
Designation: Consultant I/ Consultant II Job Location: Bangalore/Gurgaon Shift Timing: 12:00PM IST \xe2\x80\x93 10:30 PM IST Experience: 2+ years Job Responsibilities

• Collaborate with project stakeholders (client) to identify product and technical requirements. Conduct analysis to determine integration needs.

• Use different data warehousing concepts to build a data warehouse for reporting purpose.

• Build data pipelines to ingest and transform the data into our Data platform
• Apply best approaches for large scale data movement, capture data changes and apply incremental data load strategies
• Develop, implement and tune large-scale distributed systems and pipelines that process large volume of data

• Assist Data Science / Modeling teams in setting up data pipelines & monitoring daily jobs.
• Develop and test ETL components to high standards of data quality and act as hands-on development lead.

• Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.).
• Ensuring that developer responsibilities are being met by mentoring, reviewing code and test plans, verifying that design best practices as well as coding and architectural guidelines, standards, and frameworks are adhered to by offering guidance, communicating risk, and addressing roadblocks as they arise.

Must have:

• Hands on coding experience in PySpark and SQL.
• 2+ years of experience in ETL (or) data engineering role in an analytics environment.
• Bachelor\xe2\x80\x99s degree in a technical field (Computer Science degree preferred not mandatory); Master\xe2\x80\x99s degree is a plus.
• Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, Teradata, SQL server etc.
• Expertise in building data pipelines in Big data platforms; Good understanding of Data warehousing concepts
• Working knowledge of Power BI and cloud platforms (Azure exposure would be a plus)
• Strong verbal and business communication skills.
• Strong business acumen & demonstrated aptitude for analytics that incite action.

Workflow

Workflow Type
L&S-DA-Consulting