Sr Data Engineer

Job Description:

As a Senior Data Engineer you will play a crucial role in the development, maintenance, and optimization

of our data infrastructure. You will work closely with cross-functional teams, including data scientists,

analysts, and software engineers, to ensure that our data pipelines and systems are reliable, scalable,

and efficient.

Key Responsibilities:

● Create and maintain optimal Datalake and Data Warehouse setup.

● Assemble large and complex datasets 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 using SQL.

● Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

● 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.

● Build processes supporting data transformation, data structures, metadata, dependency and workload management.

● Working knowledge of message queuing, stream processing,and highly scalable ‘big data’ data stores.

● Strong project management and organizational skills.

● Experience supporting and working with cross-functional teams in a dynamic environment.

● Create and maintain clear and comprehensive documentation for data engineering processes and solutions.

Technical Expertise

● Experience with Data Analytics services like EMR, Glue, Athena, Kinesis, MSK, Elasticsearch, Quicksight and Redshift.

● Experience with big data tools: Hadoop, Spark, Kafka, Hive etc.

● Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

● Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

● Experience with stream-processing systems: Storm, Spark-Streaming, etc.

● Experience with object-oriented/object function scripting languages: Python, Scala, etc

● Experience with Data warehouse concept and setup with different data modeling techniques.