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Open nowPosted 48 days ago

Senior Data Engineer

Anblicks92 open roles

Where
Hyderabad
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Your applicationOpen nowSenior Data EngineerAnblicks · Hyderabad

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  4. 18.1%14 days
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  6. 44.6%60 days
This job: posted 48 days ago

The posting

Job Role: Senior Data Engineer- Implementation & Modernization

Location: Hyderabad

Experience: 5+ Years

No of Positions: 4

Job Role Summary

The Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing Senior Data Engineer- Implementation & Modernization

Job Role Summary

The Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing data engineering pipelines, working closely with the Cloud Solution Architects who defines overall architectural design. The Data Engineer is expected to deeply understand approved solution designs, data architectures, and modeling patterns to translate them into efficient and secure data pipelines. The ideal candidate brings strong SQL and Python skills, strong collaboration skills, and must be able to integrate solutions with a variety of technologies. The data engineer should be self-driven, able to work with minimum supervision and have extensive experience in Data Modeling, Data Warehousing, and ETL processing in a cloud environment.

Duties & Responsibilities

Implement high-performing, scalable, data ingestion, transformation, and curation pipelines on cloud platforms, aligned to approved architectural designs and standards

Apply best practices in data modeling, data structures, and curated data layers to support business use cases

Partner with Cloud Solution Architects to understand solution designs and ensure accurate, efficient implementation, ensuring that all approved development and deployment procedures are followed.

Lead code review sessions, providing code assessment

Automate data workflows and pipeline operations using orchestration and scheduling tools

Monitor pipeline health, proactively identify issues, and troubleshoot data quality or performance problems

Optimize data processing workloads for performance, reliability, and cost efficiency

Qualifications

Required

Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent professional experience

5+ years of hand-on data engineering experience in cloud environments

Advanced SQL expertise and strong Python programming skills

Extensive hands-on experience developing end-to-end ELT/ETL pipelines

Demonstrated experience developing high-performance, large scale systems

Proven experiences in Snowflake and Databricks

Strong experience with data pipeline workflow automation and orchestration frameworks (Preferred: Dagster, DBT)

Experience working in controlled development, testing and production environments

Familiarity with Git-based version control and CI/CD practices

Application of Relational Database Principles and Advanced Features

Excellent written and verbal communication skills

Strong problem-solving skills and ability to debug complex systems

Ability to work independently while collaborating across cross-functional teams

Experience using Waterfall and Agile-based methodologies within a software development function

Preferred qualifications

Cloud certifications in AWS, GCP, Azure, Snowflake, or Databricks

Industry expertise in marketing environments and related use cases

Experience implementing medallion or layered data architectures

Familiarity with observability frameworks and data reliability engineering

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