Software Engineer I

Job Title:

Software Engineer I

Job Description

Job Description Summary
Seeking an experienced ETL and Data expert with strong Azure Data Factory/Databricks and Spark/Airflow experience.
Primary responsibility will be to design and develop ETLs and to coordinate with the rest of the team working on different layers of the Project.
A commitment to collaborative problem solving, sophisticated design, and quality product is essential.

· The ideal candidate should have at least 4 years of enterprise development experience, with 3 years’ experience with Azure Data Factory (ADF), Databricks, Spark/Airflow and databases. Souldh have experience on Data Warehouse design and development for large-scale complex Data Platform.

· Recent 2+ years in Big Data Ecosystem.  Expertise in cloud-based data platforms, such as Google, AWS, & Azure. In-depth knowledge of data modeling concepts and techniques, including relational, dimensional, and NoSQL data models.

· A Bachelor’s Degree in Computer Science is required; a Master’s degree is preferred.

· Strong knowledge of Databases, DB Procedures and Queries.

· Python expert responsible for designing, coding, deploying and debugging development projects related to data pipelines that formulate data for valuable insights

· Should have ability to work with large Databases and huge volume of data.

· Hands on experience on Sql Server, PostgreSQL Databases is preferred.

· Exposure to Performance Optimization of ETLs, Database Procedures and queries will have added advantage.

· Knack for writing clean, readable, and easily maintainable code

· Experience creating database schemas that represent and support business processes

· Proficient understanding of code versioning tools {such as Git, SVN, and Mercurial}

· Must have excellent written and verbal communication skills.

· Mature, confident team player motivated by a fast paced environment.

· Must be creative and detail oriented.

Location:

IND Hyderabad Hitech Work-at-Home

Language Requirements:

Time Type:

Full time

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