Job Location: Hyderabad/Secunderabad
Roles and Responsibilities
Responsibilities for Data Engineer
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources like Mongo, S3, DynamoDB using various AWS technologies and Databricks Delta lake.
- Use cutting-edge concepts and practices from Databricks Delta Lakehouse Architecture and implement the pipeline integrating to various reporting systems.
- Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Experience with Data Pipeline Orchestrator tools like Airflow is a MUST.
- Experience with tools supporting Data Catalog Management, would be a PLUS.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Desired Candidate Profile
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Candidate should be able to query unstructured data sources (S3) using tools like Athena or Databricks using Delta Lake.
- Experience building and optimizing big data data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong organizational skills, and should be able to work in an agile setup.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 3-5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, Databricks etc.
- Experience with relational SQL and NoSQL databases, including MongoDB, and DynamoDB.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience in Spark is MUST, optimization and tuning techniques, ability to understand and explain bottlenecked processing pipelines with query plans.
- Experience in large scale Machine Learning inference systems. The candidate is not required to possess ML skills, they should be able to take a pre-trained model and use it for prediction on large scale datasets with performance and optimization (cost and time) techniques.
- Experience with Databricks systems: Delta Tables, Lakehouse Medallion Architecture.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
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