Principal Big Data Engineer

We are currently recruiting for Principal Software Engineers - Big Data 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, participate in a large variety of exciting and challenging projects, and work with our exceptional team of Technology professionals.

Technology Stack Used & Required Knowledge:

Over 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.

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.

Deploy data models into production environments, 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 team members 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.#J-18808-Ljbffr