Associate Lead - Data Engineering
Job Summary
Job Description
The Associate Lead - Data Engineering will deliver end-to-end data and analytics capabilities, including data ingest, transformation, science, and visualization. Responsibilities include designing and deploying databases and data pipelines, developing scalable workflows, and optimizing query performance. Candidates should have expert experience in SQL, Python, PySpark, and Python ML libraries, along with knowledge of data and analytics technologies, CI/CD, and AWS services. The role requires solid scripting skills, experience with big data and streaming technologies, and the ability to lead teams, communicate with stakeholders, and work with agile methodologies.
Must have:
- Deliver end-to-end data and analytics capabilities.
- Design and deploy databases and data pipelines.
- Develop scalable and fault-tolerant workflows.
- Document issues, solutions, findings, and recommendations.
- Learn and apply tools and technologies proficiently.
- Optimize performance for queries and dashboards.
- Develop and deliver clear, compelling briefings.
- Analyze client data & systems for requirements.
- Test and validate data pipelines, transformations, datasets, reports, and dashboards.
- Develop and communicate solutions architectures.
- Provide end user support to other data engineers and analysts.
- Expert experience in SQL, Python, PySpark, Python ML libraries.
- Experience in data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI.
- Knowledge of CI/CD and related tools.
- Experience with AWS services.
- Exposure to Snowflake and Airflow.
- Solid scripting skills (e.g., bash/shell scripts, Python).
- Proven work experience in data streaming technologies.
- Proven work experience in Big Data technologies.
- Proven work experience in Linux command-line operations.
- Proven work experience in networking knowledge.
- Ability to lead the team, communicate with business, gather and interpret business requirements.
- Experience with agile delivery methodologies using Jira or similar tools.
- Experience working with remote teams.
- Bachelor Degree in Computer Science relevant field.
Good to have:
- Other programming languages (R, Scala, SAS, Java)
- AWS Solutions Architect / Developer / Data Analytics Specialty certifications
- Professional certification
- Masters Degree
23 skills required
Job Details
Description
Data Engineer Responsibilities :
- Deliver end-to-end data and analytics capabilities, including data ingest, data transformation, data science, and data visualization in collaboration with Data and Analytics stakeholder groups
- Design and deploy databases and data pipelines to support analytics projects
- Develop scalable and fault-tolerant workflows
- Clearly document issues, solutions, findings and recommendations to be shared internally & externally
- Learn and apply tools and technologies proficiently, including:
- Languages: Python, PySpark, ANSI SQL, Python ML libraries
- Frameworks/Platform: Spark, Snowflake, Airflow, Hadoop , Kafka
- Cloud Computing: AWS
- Tools/Products: PyCharm, Jupyter, Tableau, PowerBI
- Performance optimization for queries and dashboards
- Develop and deliver clear, compelling briefings to internal and external stakeholders on findings, recommendations, and solutions
- Analyze client data & systems to determine whether requirements can be met
- Test and validate data pipelines, transformations, datasets, reports, and dashboards built by team
- Develop and communicate solutions architectures and present solutions to both business and technical stakeholders
- Provide end user support to other data engineers and analysts
Candidate Requirements :
- Expert experience in the following[Should have/Good to have]:
- SQL, Python, PySpark, Python ML libraries. Other programming languages (R, Scala, SAS, Java, etc.) are a plus
- Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI
- Knowledge of CI/CD and related tools such as Gitlab, AWS CodeCommit etc.
- AWS services including EMR, Glue, Athena, Batch, Lambda CloudWatch, DynamoDB, EC2, CloudFormation, IAM and EDS
- Exposure to Snowflake and Airflow.
- Solid scripting skills (e.g., bash/shell scripts, Python)
- Proven work experience in the following:
- Data streaming technologies
- Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc.
- Linux command-line operations
- Networking knowledge (OSI network layers, TCP/IP, virtualization)
- Candidate should be able to lead the team, communicate with business, gather and interpret business requirements
- Experience with agile delivery methodologies using Jira or similar tools
- Experience working with remote teams
- AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus
- Bachelor Degree in Computer Science relevant field, Masters Degree is a plus
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