Data Engineer

1 week ago

New Delhi, India Tekgence Inc Full time

Job Description:Must Have:- Must have 6+Years of experience - Programming Language: Python - AWS Services: IAM, Networking, Lake Formation, EMR, MWAA, Athena, Glue ETL, Glue Catalog, S3, Lambda, API Gateway, Event Bridge, SQS, SNS, Kinesis, DMS - Automation: Terraform (IaC), GitHub Actions - UI Tech (for a few resources): Angular - Architecture: Data Mesh, Micro ServicesStrong Experience in PySpark:- Hands-on expertise in building scalable data pipelines using PySpark. - Proficiency in using Spark SQL, DataFrame, and RDD APIs to implement complex business logic.Proficient Programming Skills:- Solid coding skills in Python (preferred), with strong fundamentals in data structures, algorithms, and software engineering principles.Data Pipeline Development:- Proven experience designing, developing, and maintaining batch and streaming data pipelines. - Understanding of ETL/ELT processes and best practices for data transformation, data quality, and performance optimization.Knowledge of Modern Data Engineering Ecosystem:- Familiarity with the current data engineering landscape including distributed data processing, storage systems, and workflow orchestration tools. - Tools/technologies could include Apache Airflow, dbt, Delta Lake, etc.Cloud Data Platform Experience (Preferably AWS)- Experience working with cloud services such as: - AWS S3 (data lake) - AWS Glue / EMR (for Spark workloads) - AWS Lambda, Step Functions, or similar for orchestration/integration - Redshift or other cloud data warehousesSpark API Expertise for Business Logic Implementation- Ability to choose and apply the right Spark APIs (Data Frame, Dataset, RDD) for performance-efficient implementation of business logic at scale.

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