Sr Data Engineer //// Fort Worth, TX (F2F Interview a Must) /// Longterm
vardhan
Fort Worth, TX (F2F Interview a Must)
Longterm Contract
Description:
This list is intended to reflect the
current job but there may be additional essential functions (and certainly
non-essential job functions) that are not referenced. Management will modify
the job or require other tasks be performed whenever it is deemed appropriate
to do so, observing, of course, any legal obligations including any collective
bargaining obligations.
• Work closely with source data application teams and product owners to design,
implement and support analytics solutions that provide insights to make better
decisions
• Implement data migration and data engineering solutions using Azure products
and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions,
Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data
warehouse tools
• Perform multiple aspects involved in the development lifecycle – design,
cloud engineering (Infrastructure, network, security, and administration),
ingestion, preparation, data modeling, testing, CICD pipelines, performance
tuning, deployments, consumption, BI, alerting, prod support
• Provide technical leadership and collaborate within a team environment as
well as work independently
• Be a part of a DevOps team that completely owns and supports their product
• Implement batch and streaming data pipelines using cloud technologies
• Leads development of coding standards, best practices and privacy and
security guidelines
• Mentors' others on technical and domain skills to create multi-functional
teams
ALL YOU’LL NEED FOR SUCCESS
Top Mandatory Skills:
4 -7 years of hands-on experience in Data Engineering
Azure Databricks/Azure Data Factory (primary skillset )
Azure Data Lake (secondary skillset)
Pyspark & Python
SQL Coding
Teradata
Nice to have:
Databricks Certification
Minimum Requirements:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or
related field (or equivalent experience).
• 5+ years of experience in software development (Agile, DevOps), designing,
developing, and implementing large-scale applications or data engineering
solutions.
• 5+ years of data analytics experience using SQL and working with data
platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake,
ADLS, and Azure Data Explorer.
• 5+ years of cloud development and data lake experience, primarily in
Microsoft Azure (EventHub, Data Factory, Databricks, Blob Storage, Power BI,
Azure Functions, etc.)