RapinnoTech Solutions - Big Data Engineer - Python/Spark (8-10 yrs)

Job Description :

- Design & Build ingestion pipelines using ELT and schema on read in Databricks Delta lake

- Design & Develop "Transformations" aspects using the ELT framework to modernize the Ingestion pipelines and build data transformations at scale

- Work closely with other data teams & Data Science teams and participate in the development of Ingestion pipelines

- Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python, and Spark

- Build and maintain a data environment for speed, accuracy, consistency, and 'up' time

- Work closely with other data teams & Data Science teams and participate in the development of Ingestion pipelines

- Ensure data governance principles are adopted, data quality checks and data lineage implemented in each hop of the data

- Be in tune with emerging trends Big data and cloud technologies and participate in the evaluation of new technologies

- Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards

What you'll bring :

- Should be in a position to handle issue resolution and provide direction to teams both technically and functionally

- Should be able to articulate and convert requirements into solutions.

- Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage

- Experience with development frameworks as well as data and integration technologies such as Informatica, Python, Scala

- Expert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally.

- Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management

- Excellent analytical thinking, interpersonal, oral, and written communication skills with a strong ability to influence both IT and business partners

- Ability to prioritize and manage work to critical project timelines in a fast-paced environment

- Financial services industry experience

Desirable Skills :

- BE, MCA, or MS degree in Computer Science or Information Technology

- 8+ years of experience as a data engineer at an innovative organization

- 5+ years of hands-on experience implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Spark & Scala, Python, etc.

- 3+ years of Expertise in building applications using Kafka, Golden Gate, etc. for building ingestion pipelines for Bulk and incremental data loads

- Strong expertise (preferably 5 years) in SDLC cycle including stakeholder management, people management, risk management, strategic management, communication management

Not checking every single requirement?

If this role sounds good to you, even if you don't meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.

Let's meet and you may just be the right candidate for one of our roles.

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.