Lead / Senior Data Engineer

ConfidentialHyderabad / Secunderabad, Telangana, India

8 days ago

Job description

About Us

About DATAECONOMY : We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.

Job Description

We are seeking a highly experienced and hands-on Lead / Senior Data Engineer to architect, develop, and optimize data solutions in a cloud-native environment. The ideal candidate will have 7–12 years of strong technical expertise in AWS Glue, PySpark, and Python , along with experience designing robust data pipelines and frameworks for large-scale enterprise systems. Prior exposure to the financial domain or regulated environments is a strong advantage.

Key Responsibilities

Solution Architecture : Design scalable and secure data pipelines using AWS Glue, PySpark, and related AWS services (EMR, S3, Lambda, etc.)
Leadership & Mentorship : Guide junior engineers, conduct code reviews, and enforce best practices in development and deployment.
ETL Development : Lead the design and implementation of end-to-end ETL processes for structured and semi-structured data.
Framework Building : Develop and evolve data frameworks, reusable components, and automation tools to improve engineering productivity.
Performance Optimization : Optimize large-scale data workflows for performance, cost, and reliability.
Data Governance : Implement data quality, lineage, and governance strategies in compliance with enterprise standards.
Collaboration : Work closely with product, analytics, compliance, and DevOps teams to deliver high-quality solutions aligned with business goals.
CI / CD Automation : Set up and manage continuous integration and deployment pipelines using AWS CodePipeline, Jenkins, or GitLab.
Documentation & Presentations : Prepare technical documentation and present architectural solutions to stakeholders across levels.

Requirements

Required Qualifications :

7–12 years of experience in data engineering or related fields.

Strong expertise in Python programming with a focus on data processing.

Extensive experience with AWS Glue (both Glue Jobs and Glue Studio / Notebooks).

Deep hands-on experience with PySpark for distributed data processing.

Solid AWS knowledge : EMR, S3, Lambda, IAM, Athena, CloudWatch, Redshift, etc.

Proven experience in architecture and managing complex ETL workflows.

Proficiency with Apache Airflow or similar orchestration tools.

Hands-on experience with CI / CD pipelines and DevOps best practices.

Familiarity with data quality, data lineage, and metadata management.

Strong experience working in agile / scrum teams.

Excellent communication and stakeholder engagement skills.

Preferred / Good To Have

Experience in financial services, capital markets, or compliance systems.

Knowledge of data modeling, data lakes, and data warehouse architecture.

Familiarity with SQL (Athena / Presto / Redshift Spectrum).

Exposure to ML pipeline integration or event-driven architecture is a plus.

Benefits

Flexible work culture and remote options

Opportunity to lead cutting-edge cloud data engineering projects

Skill-building in large-scale, regulated environments.

Skills Required

S3, Pyspark, AWS Glue, Emr, Redshift, Apache Airflow, Jenkins, Lambda, Cloudwatch, Iam, Gitlab, Python

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Data Engineer • Hyderabad / Secunderabad, Telangana, India