Senior Big Data Engineer

We are hiring for Senior Big Data Engineer with solid experience in data engineering and a passion for Big Data. The ideal candidate will have experience of over 4 to 6+ years specifically in Data Engineering.

You will have the chance to join a global, multi-cultural team of Data Engineers, and be part of the growth and development of it, participate in a large variety of exciting and challenging projects and work with our exceptional team of Technology professionals.

• 4 to 6+ years of experience on ETL Data Engineer, Python, Big Data (Hadoop, spark, hive)
• Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3)
• Excellent understanding of ETL cycle.
• Experience in creating and driving large-scale ETL pipelines in AWS-based environment and experience of services such as EMR, Glue, Lambda, Athena
• Experience with integration of data from multiple data sources.
• Understanding of data processing pipelines, data management, and data engineering principles, including experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).
• Good knowledge and understanding of Big data engineering, ETL, Data Modeling, SQL Scripting, and Data Architecture.
• Strong software development and programming skills with a focus on data using Python, PySpark and/or Scala for data engineering.
• Experience and understanding of developing and maintaining complex stored procedures
• Strong proficiency in ETL schedulers such as StepFunction or Apache Airflow
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Experience and understanding of various core GCP services such as BigQuery, Cloud Composer, Cloud Storage
• Knowledge of containerization technologies, CI/CD pipelines and IAC tools like Docker, Jenkins, Terraform for automating software delivery process
• Experience with the AWS data management tools such as Data lake and Databricks or AWS Snowflake is a plus
• Understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms is a plus
• Experience and understanding of AWS data migration services such as SCT, DataSync, Data Extractor will be a plus
• Should have experience in Jira and Agile development methodologies.
• Must be open to learning and have the ability to grasp new technologies quickly.
• Be motivated and passionate about technology.
• Team player with strong integrity and professionalism who can work well with others in the group.
• Self-starter with a proven ability to take initiative and strong problem-solving skills.

To keep it short, below are some key responsibilities:

• Design and develop using Big Data technologies.
• Design and develop cutting edge Big Data, and Cloud technologies to build critical, highly complex distributed systems from scratch
• Design, develop and manage complex ETL jobs and pipelines.
• Act as a team member, consulting other teammates as your new systems transform the way this entire firm leverages data
• Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
• Support and help them learn and improve their skills, as well as innovate and iterate on best practices.
• Solve complex issues and provide guidance to team members when needed.
• Make improvement and process recommendations that have an impact on the business.