AWS Data Engineer

1 week ago


Bengaluru, Karnataka, India Xcelyst Full time

AWS Data Engineer

Experience: 5-8 Years

Location: Bangalore, Pune

Notice Period : Immediate Joiner - 30 days

Exp - 4+ Yrs in Data Engineering

4+ Yrs in AWS Services

Skills - Hands on exp in Glue is mandatory.Exposure to Lambda,Redshift,RDS,S3+ Python/Scala/Pyspark + SQL. Experience in solution designing.

Job Description :

Strong AWS development experience for data ETL/pipeline/integration/automation work. Should have deep Understanding of BI & Analytics Solution development lifecycle

AWS cloud development & Automation for Analytics. Should have deep understanding of AWS Services (Redshift, Glue, Lambda, Athena, S3, EMR.

Hands on experience in Python core development, Deep level understanding of packages such as Boto 3, Pandas, NumPy etc. for Cloud Automation and Data Pipeline Automation and Exploration.

- Hands on experience on Pyspark,Python or Scala

- Strong experience on real time scalable workflow implementation

- Strong skills in querying languages like SQL, T-SQL and relational databases is required.

- Excellent knowledge of various schemas like snowflake and star AWS Certifications preferred

- Hands on exp in Glue is mandatory.Exposure to Lambda,Redshift,RDS,S3+ Python/Scala/Pyspark + SQL.

Experience in solution designing.

- Apply knowledge of basic principles, methods and practices to simple and moderately complex assignments.

- Proactively identify and implement opportunities to automate tasks and develop reusable frameworks

- Participate in sprint planning meetings and provide estimations on technical implementation;

- Contributed to the exploration and understanding of new tools and techniques, and propose improvements to the data pipeline

- Review functional and technical designs to identify areas of risk and/or missing requirements;

- Provide technical write-ups and drawings to promote the proposed solutions.

- Build applications using Python, SQL and AWS

- Adhere to standard methodologies for coding, testing and designing reusable code/component;

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