Senior Data Engineer

Bachelor’s degree in Computer Science or related degree
7+ years of experience leading Modern Data platforms and solving business problems using data and advanced analytical methods
Experience with Cloud data stack solutions such as AWS, Redshift, Snowflake, Airflow
Experience handling real-time events data feed is required
Experience writing production level code for data pipelines and real time applications, and contributing to a large code repository
Significant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMSes and data warehouses.

Design, build, and integrate data from various resources
Manage big data pipelines that are easily accessible with optimized performance
Develop, architect and implement core data engineering and data warehouse frameworks
Design and build data quality monitoring framework to ensure data completeness and data integrity
Champion security and governance and ensure data engineering team adheres to all company guidelines
Lay down the solid foundation of Data integration of new data sources
Provide direct and ongoing leadership for a team of individual contributors designing, building & maintaining highly scalable, predictable, and modern data pipeline
Partner with front end team to design efficient Data Model
Work closely with Business Intelligence and Data Science team to provide data platform as a Service
Work with Data Science team to deploy ML models

Strong experience building Data warehouse, Datamart and analytics solutions
Strong experience in data modeling, mapping & analysis and design
Strong experience with relational and no-SQL Databases
Expertise in developing end-to-end data pipelines, from data collection, through data validation and transformation, to making the data available to processes and stakeholder
Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar
Expertise in OLAP databases such as Snowflake or Redshift
Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar
Organized and capable of managing multiple complex projects on tight deadlines without compromising quality, and comfortable working with dynamically evolving requirements
Experience in Agile project management methodologies
Great communication skills, ability to work with senior management, business leads, analysts, product managers and lead strategic cross-company project
Outstanding verbal and written communications skills with the ability to listen, articulate positions, and influence outcomes beyond direct areas of ownership
Consistently demonstrates and follows high standards of integrity in business decision-making