Lead Data Engineer

Job Description

You are being sought after to take on the role of a Senior Data Engineer, where your primary responsibility will be leading the development of a scalable data ingestion framework. In this capacity, you will play a crucial role in ensuring high data quality and validation, as well as designing and implementing robust APIs for seamless data integration. Your expertise in building and managing big data pipelines using modern AWS-based technologies will be put to good use, making sure that quality and efficiency are at the forefront of data processing systems.Key Responsibilities:- **Data Ingestion Framework**: - Design & Development: You will architect, develop, and maintain an end-to-end data ingestion framework that efficiently extracts, transforms, and loads data from diverse sources. - Framework Optimization: Utilize AWS services such as AWS Glue, Lambda, EMR, ECS, EC2, and Step Functions to build highly scalable, resilient, and automated data pipelines.- **Data Quality & Validation**: - Validation Processes: Develop and implement automated data quality checks, validation routines, and error-handling mechanisms to ensure the accuracy and integrity of incoming data. - Monitoring & Reporting: Establish comprehensive monitoring, logging, and alerting systems to proactively identify and resolve data quality issues.- **API Development**: - Design & Implementation: Architect and develop secure, high-performance APIs to enable seamless integration of data services with external applications and internal systems. - Documentation & Best Practices: Create thorough API documentation and establish standards for API security, versioning, and performance optimization.- **Collaboration & Agile Practices**: - Cross-Functional Communication: Work closely with business stakeholders, data scientists, and operations teams to understand requirements and translate them into technical solutions. - Agile Development: Participate in sprint planning, code reviews, and agile ceremonies, while contributing to continuous improvement initiatives and CI/CD pipeline development.Required Qualifications:- **Experience & Technical Skills**: - Professional Background: At least 5 years of relevant experience in data engineering with a strong emphasis on analytical platform development. - Programming Skills: Proficiency in Python and/or PySpark, SQL for developing ETL processes and handling large-scale data manipulation. - AWS Expertise: Extensive experience using AWS services including AWS Glue, Lambda, Step Functions, and S3 to build and manage data ingestion frameworks. - Data Platforms: Familiarity with big data systems (e.g., AWS EMR, Apache Spark, Apache Iceberg) and databases like DynamoDB, Aurora, Postgres, or Redshift. - API Development: Proven experience in designing and implementing RESTful APIs and integrating them with external and internal systems. - CI/CD & Agile: Hands-on experience with CI/CD pipelines (preferably with GitLab) and Agile development methodologies.- **Soft Skills**: - Strong problem-solving abilities and attention to detail. - Excellent communication and interpersonal skills with the ability to work independently and collaboratively. - Capacity to quickly learn and adapt to new technologies and evolving business requirements.Preferred Qualifications:- Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.- Experience with additional AWS services such as Kinesis, Firehose, and SQS.- Familiarity with data lakehouse architectures and modern data quality frameworks.- Prior experience in a role that required proactive data quality management and API-driven integrations in complex, multi-cluster environments.Please note that the job is based in Kochi and Thiruvananthapuram, and only local candidates are eligible to apply. This is a full-time position that requires in-person work.Experience Required:- AWS: 7 years- Python: 7 years- PySpark: 7 years- ETL: 7 years- CI/CD: 7 yearsLocation:Kochi, Kerala,

Keyskills :
PythonSQLApache SparkDynamoDBPostgresRESTful APIsGitLabAgile methodologiesPySparkAWS GlueLambdaStep FunctionsAWS EMRApache IcebergAuroraRedshift