Senior Data Engineer

Anblicks; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Anblicks is seeking a Senior Data Engineer- Implementation & Modernization to build and optimize large-scale data solutions on modern cloud platforms. You will design and implement data pipelines from the ground up, ensuring secure, efficient data flows.

Strong SQL and Python skills and experience with Snowflake and Databricks are essential. Collaborate with Cloud Solution Architects, lead code reviews, automate workflows, and monitor pipeline health to prevent issues.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent professional experience
• 5+ years of hands-on data engineering experience in cloud environments
• Advanced SQL and strong Python skills
• Experience with Snowflake and Databricks
• Experience with data pipeline orchestration frameworks (Dagster/DBT preferred)
• Experience in controlled development, testing and production environments
• Familiarity with Git-based version control and CI/CD practices
• Relational database principles and advanced features
• Excellent written and verbal communication skills
• Ability to work independently and across cross-functional teams
• Experience with Waterfall and Agile methodologies

Responsibilities

• Implement high-performing, scalable data pipelines on cloud platforms
• Apply data modeling best practices and structured data layers
• Collaborate with Cloud Solution Architects on designs and implementation
• Lead code reviews and provide feedback
• Automate data workflows using orchestration tools
• Monitor pipeline health and troubleshoot data quality issues
• Optimize data processing for performance, reliability and cost

Skills

Advanced SQL

Python programming

Snowflake

Databricks

Data modeling

ETL processing

Data warehousing

CI/CD practices

Git

Education

Bachelors in Computer Science or related field

Tools

Dagster

DBT

Job description

Job Role: Senior Data Engineer- Implementation & Modernization

Exp: 5 Years+ (Relevant)

Early Joiners Preferred

Job Role Summary

The Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms from the ground up. 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
• 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