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Enterprise Lead Data Engineer at Georgia, Atlanta at Atlanta, Georgia, USA
Email: [email protected]
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https://jobs.nvoids.com/job_details.jsp?id=467743&uid=

From:

Harsh Goyal,

Tek inspirations

[email protected]

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Job Description -

Enterprise  Lead Data Engineer (Need 10+ )

Location: Georgia, Hybrid, AtlantaSkills:

Required: 
6+ years of experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming
Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka
Deep knowledge of troubleshooting and tuning Spark applications
3+ years of experience with data ingestion from Message Queues (Tibco, IBM, etc.) and different file formats across different platforms like JSON, XML, CSV
3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, or HDFS
3+ years of experience building, testing, and optimizing Big Data data ingestion pipelines, architectures, and data sets
2+ years of experience with Python (and/or Scala) and PySpark/Scala-Spark
3+ years of experience with AWS cloud platform
3+ years of experience with database solutions like Databricks or Snowflake
2+ years of experience with NoSQL databases, including HBASE and/or Cassandra
Knowledge of Unix/Linux platform and shell scripting is a must
Strong analytical and problem-solving skills

Preferred (Not Required):
Experience with Cloudera/Hortonworks CDP, HDP and HDF platforms
Strong SQL skills with ability to write intermediate complexity queries
Strong understanding of Relational & Dimensional modeling
Experience with GIT code versioning software
Experience with REST API and Web Services
Good business analyst and requirements gathering/writing skillsResponsibilities:
Sharing project solutions and outcomes with colleagues to improve delivery on future projects
Analyzing and translating business needs into long-term solution data pipelines.
Evaluating existing data systems.
Working with the development team to create conceptual data flows.
Developing best practices for data coding to ensure consistency within the system.
Reviewing modifications of existing systems for cross-compatibility.
Implementing data strategies and developing data integration points .
Evaluating implemented data systems for variances, discrepancies, and efficiency.
Troubleshooting and optimizing data systems.
Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met
Motivating and developing staff through teaching, empowering, and influencing technical and consulting soft skills
Driving innovative technology solutions through thought leadership on emerging trendsEducation

B.A./B.S. degree or equivalent work experience in computer science, information technology, business administration, engineering, or another relevant field

Keywords: sthree
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01:32 AM 01-Aug-23


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