Data Engineer

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🕒 March 17

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CLIQHR Recruitment Services

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

🎯 Recruiter

🏢 Enterprise

👥 HR Tech

Recruitment • Enterprise • HR Tech

CLIQHR Recruitment Services is a comprehensive recruitment agency based in India, specializing in a wide range of recruitment solutions including permanent, contract, executive, and overseas recruitment. They cater to businesses of all sizes from startups to established enterprises, offering services such as bulk hiring, remote team hiring, and recruitment process outsourcing. Their team is known for using modern technology to ensure efficient recruitment processes and providing quality candidates for their clients. Additionally, CLIQHR is recognized for its integrity, confidentiality, and professionalism in matching the right talent with businesses across various industries.

📋 Description

• Design and implement scalable data ingestion and processing pipelines using AWS services and modern data tools • Perform data ingestion, validation, and transformation using existing data frameworks • Develop and enhance data ingestion frameworks to support fast and reliable data onboarding • Process structured and semi-structured data using batch processing and store data in S3 • Transform and load data into Redshift and manage data operations using DBT • Build and manage workflow orchestration using Airflow or Step Functions • Export and integrate processed data with external systems via S3 • Implement data validation, auditing, and monitoring to ensure data quality and reliability • Create configurable data pipeline steps using JSON, tables, or similar methods for non-technical users • Support containerized deployments using Docker and contribute to deployment processes

🎯 Requirements

• 8–11 years of experience in Data Engineering or related roles • Strong hands-on experience with AWS services such as Glue, Lambda, S3, and Step Functions • Proficiency in Python, PySpark, and advanced SQL • Experience with DBT for data transformation and modeling • Expertise in workflow orchestration tools like Airflow or Step Functions • Hands-on experience with cloud data warehouses such as Redshift, Snowflake, or BigQuery • Experience handling structured and semi-structured data pipelines • Knowledge of Shell scripting and containerization using Docker • Basic understanding of data governance and DevOps deployment practices • Familiarity with Terraform for infrastructure management (nice to have) • Strong problem-solving skills and ability to work in fast-paced environments.

🏖️ Benefits

• Remote work arrangement