Data Engineer

3 weeks ago


Mumbai Maharashtra India, Maharashtra 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 Services


Strong 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 warehouses


Spark 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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