Data Engineer - AWS - Databricks, AWS EMR, Redshift, and various database management systems - 5+ Relevant Years - Immediate Joiners
Blue Cloud Softech Solutions Limited
India
•
Remote
Remote
Full-Time
India
About the Role
Minimum Requirements
5+ years of experience in Data Engineering, including more than 5 years of hands-on expertise with Databricks, AWS EMR, Redshift, and various database management systems.
Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Databricks, Redshift etc.)
Proficient in programming languages like Python and PySpark.
Experience in data normalization, data modelling, Decoupled ETL, SQL modelling.
Experience profiling, manipulating, and merging massive data set using Big Data technologies, preferably Databricks & AWS Analytics.
Exposure to Unix or other shell scripting, job scheduling using Control-M or equivalent tools
Attention to detail and logical based thinking in building, testing, and reviewing data pipelines containing multi-disciplinary information
Commitment to building using established coding and naming standards
Experience in guiding ad-hoc technical solutions to the team
Preferred
Languages: Python, PySpark, SparkSQL, SQL, JAVA
Exposure to SAP ERP system, Salesforce.com, etc. is preferred
Visualization tool experience, especially with Tableau or Power BI
Working in larger organizations with established individual responsibilities & teams.
We Value
Databricks & AWS Cloud Certifications
Experience in business domains – supply chain, pricing, sales & marketing
Experience in working with data scientists
Strong problem solver who can invent new techniques and approaches if necessary
Ability to work in a fast-paced environment
5+ years of experience in Data Engineering, including more than 5 years of hands-on expertise with Databricks, AWS EMR, Redshift, and various database management systems.
Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Databricks, Redshift etc.)
Proficient in programming languages like Python and PySpark.
Experience in data normalization, data modelling, Decoupled ETL, SQL modelling.
Experience profiling, manipulating, and merging massive data set using Big Data technologies, preferably Databricks & AWS Analytics.
Exposure to Unix or other shell scripting, job scheduling using Control-M or equivalent tools
Attention to detail and logical based thinking in building, testing, and reviewing data pipelines containing multi-disciplinary information
Commitment to building using established coding and naming standards
Experience in guiding ad-hoc technical solutions to the team
Preferred
Languages: Python, PySpark, SparkSQL, SQL, JAVA
Exposure to SAP ERP system, Salesforce.com, etc. is preferred
Visualization tool experience, especially with Tableau or Power BI
Working in larger organizations with established individual responsibilities & teams.
We Value
Databricks & AWS Cloud Certifications
Experience in business domains – supply chain, pricing, sales & marketing
Experience in working with data scientists
Strong problem solver who can invent new techniques and approaches if necessary
Ability to work in a fast-paced environment