Job Location: Mumbai
Position Purpose
As the Data Engineer within Online Analytics & BI, you will be responsible for development of
the workflow orchestration & ETL pipelines within marketing’s analytics and data science
platforms. You will ensure that the data pipeline infrastructure meets the analysis, reporting,
and data science needs of the marketing organization.
This position calls for top technical talent to implement continued design, development and
optimization of the marketing data pipelines & data prep infrastructure built on cutting-edge
cloud technologies.
Additional Roles & Responsibilities
Apply strong technical skills in a data engineering team building industry-leading
technology
Embrace an active team role to help design, implement, and launch efficient and
reliable data pipelines moving data across a number of platforms including Data
Warehouse, online caches and real-time systems.
Create data architecture that is flexible, scalable, and consistent for cross-functional
use, and aligned to stakeholder business requirements.
Deploy workflow orchestration and demonstrate expertise in data modeling, ETL
development, and data warehousing
Build industry-leading tools to increase productivity of Data Analysts, Data Scientists
and Marketers
Help Marketing organization to become a 100% data-driven organization by building
a next generation data platform that brings accurate and timely data to the
Marketers
Validate Data Engineering business data elements, organizational and business
intelligence architecture designs for engineering functional areas from Dashboards,
Data Lakes, Data Operations, ML – AI, and upstream/downstream intake and output
processes
Preferred Qualifications:
BA/BS Degree in Computer Science, any Engineering discipline, Statistics, Information
Systems or another quantitative field.
4+ years of industry experience in data engineering, data science, or related field
with a track record of manipulating, processing, and extracting value from large
datasets
Experience building and managing data pipelines and repositories in cloud
environments such as Google Cloud, Microsoft Azure or AWS
Experience in Airflow is a must
Experience extracting/cleansing data and generating insights from large
transactional data sets using Spark SQL, SQL, Python, and PySpark on cloud
Experience with optimizing Spark pipelines on Dataproc, Databricks or similar
technologies.
Strong verbal and written communications skills at all levels; ability to communicate
complex customer behavior information to both functional partners and Executive
Leadership
Open to idea exploration with strong problem-solving/analytical abilities
Demonstrated strength in creating partnerships and in building relationships with other
functions and associates within the organization.
Interested & available candidates can share their resumes directly along with their Total experience, Current CTC, Expected CTC, Offer in hand (if any), Current & Preferred location, Notice Period, LWD (if any)
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