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Must Have Skills:

Spark Python AWS Airflow

Detailed Job Description:

Hands - on Engineering Leadership with proven track record of Innovation and expertise in Big Data Engineering Deep understanding and experience developing code in modern data processing technology stacks Engage with product owner, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities Mentor less senior engineers in coding best practices and problem solving

Skills / Qualifications:

Strong experience with data engineering with emphasis on data analytics and reporting Strong experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)— expert-level SQL abilities Experience developing with Python Experience with AWS components and services, particularly, EMR, S3, and Lambda Experience developing solutions in Snowflake Experience with workload automation tools such as Airflow, Autosys. Experience with developing in service-oriented architectures, leveraging REST API’s Experience working with source-code management tools such as GitHub and Jenkins Good understanding of file formats including JSON, Parquet, Avro, and others Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos) Knowledge of Supply Chain Operations / Manufacturing business processes and objectives

Minimum years of experience*: 5+

Certifications Needed: No

Responsibilities you would expect the Subcon to shoulder and execute*:

Expertise in Spark, Python Expertise in AWS

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No