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Senior Data Engineer

Fanatics E-Commerce (India) LLP

6 years

0 Lacs

Hyderābād

Posted:13 hours ago| Platform: GlassDoor logo

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Skills Required

data engineering architecture design support analytics model training combination software apache spark redshift aws programming python java etl flow sql reporting visualization tableau looker powerbi qlikview analysis api integration learning

Work Mode

On-site

Job Type

Part Time

Job Description

What will you be doing?

Develop Real Time Streaming & Batch Data Pipelines.
Deliver high-quality data engineering components and services that are robust and

scalable.

Collaborate and communicate effectively with cross-functional teams to ensure

delivery of strong results.

Employ methodical approaches to Data Modeling, Data Quality, and Data Governance.
Provide guidance on architecture, design, and quality engineering practices to the

team.

Leverage foundational Data Infrastructure to support analytics, BI, and visualization

layers.

Work closely with data scientists on feature engineering, model training frameworks,

and model deployments at scale.
What are we looking for?

BS/MS in Computer Science or related field, or an equivalent combination of education

and experience.

A minimum of 6 years of experience in software engineering, with hands-on

experience in building data pipelines and big data technologies.

Proficiency with Big Data technologies such as Apache Spark, Apache Iceberg, Amazon

Redshift, Athena, EMR, and other AWS services (S3, Lambda, EMR).

Expertise in at least one programming language: Python, Java, or Scala.
Extensive experience in designing and building data models, integrating data from

various sources, building ETL/ELT and data-flow pipelines, and supporting all parts of the
data platform.

Expert-level SQL programming knowledge and experience.
Experience with any enterprise reporting and/or data visualization tools like Strategy,

Cognos, Tableau, Looker, PowerBI, Superset, QlikView etc.

Strong data analysis skills, capable of making data-driven arguments and effective

visualizations.

Energetic, enthusiastic, and detail-oriented.

Bonus Points

Experience in e-commerce/retail domain.
Knowledge on StarRocks.
Knowledge in Web Services, API integration, and data exchanges with third parties.
Familiarity with basic statistical analysis and machine learning concepts.
A passion for producing high-quality analytics deliverables.

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