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Pditechnologies · Posted 3mo ago

Data Engineer II

HybridMid-level
Location
🇮🇳 Chennai, India
Role
Data engineering
Source
Employer’s own job board (Lever)

Stack

The posting

Key Responsibilities •

Design, develop, and maintain cloud-based data pipelines supporting enterprise reporting and analytics.

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Build and optimize ETL/ELT processes using AWS-native data services and modern data engineering practices.

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Integrate enterprise source systems, including Salesforce, NetSuite, and other business applications, into centralized data platforms.

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Develop and maintain scalable data models supporting reporting and business intelligence initiatives.

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Monitor pipeline performance, troubleshoot data issues, and implement improvements to ensure data accuracy and reliability.

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Partner with business stakeholders to understand reporting requirements and translate them into technical solutions.

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Support data governance initiatives by maintaining data quality, metadata, and documentation.

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Contribute to automation, continuous integration, and infrastructure-as-code practices to improve development efficiency.

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Participate in code reviews and promote engineering best practices across the team. Qualifications •

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.

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2-4 years of experience in data engineering or cloud data platform development.

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Experience developing data pipelines using AWS services such as S3, Glue, Redshift, AppFlow, and Step Functions.

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Experience working with SQL, Python, and PySpark.

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Understanding of dimensional modeling, data warehousing concepts, and modern data lake technologies.

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Experience integrating enterprise applications such as Salesforce, NetSuite, or similar SaaS platforms.

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Familiarity with Git, CI/CD pipelines, and Infrastructure as Code (Terraform preferred).

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Practical experience with applying AI/ML techniques to data engineering problems, such as automated data quality checks, anomaly detection, or intelligent pipeline monitoring

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Strong analytical and problem-solving skills.

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Excellent collaboration and communication skills. Behavioral Competencies •

Ensures Accountability

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Manages Complexity

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Communicates Effectively

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Balances Stakeholders

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Collaborates Effectively