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Data Engineer - Python/SQL

Questhiring

Job Description Data Engineer : Location : Noida / GurgaonExperience : 4 to 5 YearsWe are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms on AWS. The role requires strong expertise in Python, SQL, ETL/ELT pipelines, Airflow, and AWS data services to enable reliable, secure, and high-performance data solutions for analytics and business reporting. Candidates with exposure to the BFSI / lending / banking domain will be preferred.Key Responsibilities : - Design, build, and maintain scalable ETL/ELT pipelines and data workflows on AWS.- Develop and optimize data models (OLTP/OLAP), schemas, and warehousing solutions (e.g., Redshift, Snowflake, or similar).- Build data ingestion frameworks for batch and streaming data from diverse sources (APIs, RDBMS, files, event streams).- Implement data quality checks, validation rules, and monitoring for data reliability and SLAs.- Write efficient, production-grade Python and SQL for data transformations and orchestration.- Manage and optimize data storage, partitioning, and performance (query tuning, indexing, cost optimization).- Implement orchestration and workflow management (e.g., Airflow/Step Functions).- Collaborate with stakeholders to translate business requirements into technical specs and data contracts.- Ensure data security, governance, lineage, and compliance (IAM, encryption, PII handling).- Set up observability for pipelines (logging, metrics, alerting) and support on-call rotations.- Contribute to CI/CD for data workloads, infrastructure-as-code, and best practices documentation.Required Skills : - 4 to 5 years of hands-on experience in Data Engineering.- Strong experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, Step Functions, EMR/Glue Spark, IAM, and CloudWatch.- Proficiency in Python and advanced SQL.- Experience with ETL/ELT pipelines, data modeling, and data warehousing.- Hands-on experience with Airflow or equivalent orchestration tools.- Good understanding of data quality, monitoring, and performance tuning.- Familiarity with Git, CI/CD, and Infrastructure as Code (Terraform / CloudFormation).Preferred : - Exposure to BFSI / Banking / NBFC / Lending domain.- Experience with Kinesis / Kafka / MSK.- Knowledge of Docker, ECS / EKS.- Familiarity with Parquet, Delta, Iceberg, and Lake Formation. (ref:hirist.tech)

Vacancy posted 19 days ago
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