Advanced Data Architectural Specialist

4 days ago

bangalore, India beBeeDataEngineer Full time

Senior Data Engineer (Python & AWS)We are seeking a seasoned Senior Data Engineer to join our team. This is an exciting opportunity for a highly skilled professional with expertise in designing and building scalable data pipelines, managing cloud-based data platforms, ensuring data quality, and supporting analytics/AI use cases.Job OverviewAs a Senior Data Engineer, you will be responsible for:Designing and implementing scalable data architectures using AWS Glue, Lambda, EMR, Step Functions, and RedshiftDeveloping efficient ETL/ELT frameworks and reusable modules using PythonBuilding and optimizing data lakes (S3) and data warehouses (Redshift, Athena)Integrating data from multiple sources (RDBMS, API, Kinesis/Kafka, SaaS)Leading data modeling, partitioning, and performance tuning effortsImplementing data quality, observability, and lineage best practicesEnsuring data security & governance through IAM, encryption, and access controlSupporting Analytics, Data Science, and ML teamsSetting up CI/CD pipelines for data workflowsProviding technical leadership, code reviews, and mentorshipMonitoring and troubleshooting data systems; driving performance & cost optimizationRequired Skills and QualificationsTo succeed as a Senior Data Engineer, you should have:At least 6 years of experience in data engineeringExpert-level knowledge of Python (pandas, PySpark, boto3, SQLAlchemy)Strong understanding of AWS data services: Glue, Lambda, EMR, Step Functions, DynamoDB, Redshift, S3, Athena, KinesisStrong SQL skills and experience with data modelingHands-on experience with CI/CD, Git, and infrastructure automation (CloudFormation/Terraform)Understanding of containerization (Docker/Kubernetes)Excellent problem-solving and communication skillsBenefitsAs a Senior Data Engineer, you can expect a competitive salary and benefits package, including opportunities for career growth and professional development.OthersExperience with Spark/PySpark on EMR or Glue, Airflow, dbt, Dagster, real-time streaming (Kafka/Kinesis), Lake Formation, DataBrew, Glue Studio, ML platforms (SageMaker), or BI tools (QuickSight) is a plus.],

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