| Azure Data Engineer @ Irving - TX (Onsite) - Locals Only at Irving, Texas, USA |
| Email: [email protected] |
| Greetings, We have the below requirement with our Client. Kindly go through the JD below and let me know your interest. Position: Data Engineer Location: Irving - TX ( Onsite) Locals Only Duration: Long Term Need USC, H1B & H4 EAD only. LinkedIn & Passport Number Must for Submission. Job Overview: The organization is looking for a Data Engineer that has at least 4-6 years of experience in managing large complex data sources. Candidate should demonstrate strong ETL skills to integrate multiple data sources into a single data warehouse solution that is used for reporting, analytics and for building machine learning applications. Experience with various data sources, formats, and systems, such as relational databases, NoSQL databases, data warehouses, data lakes, cloud platforms, streaming platforms, and ETL tools is required. Education Level: Bachelors Degree or equivalent experience Preferred Major: MIS or Computer Science Responsibilities: Design and develop the data ingestion architecture for all incoming data from various sources into a single warehouse solution. Automate data infrastructure and pipelines. Design our data warehouse solution for scale with a keen eye on optimizing data infrastructure. Build and maintain scalable ETL pipelines to efficiently process and maintain large data volumes. Work with our engineering teams to ensure robust implementation across all areas of product. Partner with business stakeholders to gather and synthesize data requirements. Implement monitoring tools and practices to ensure high data quality and stability. Articulate and implement best practices around data ingestion frameworks and pipeline development. Experience Requirements: Min. 4-6 years experience in a Data Engineering role, managing large volumes of data. Experience with Azure stack a plus Skill Requirements: Background in Data Engineering,4+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), ETL tools (e.g. Alteryx), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow) Experience proactively identifying opportunities to improve ETL & dashboard performance. Familiarity with cloud computing tools such as AWS, Azure, and GCP Experience with data transformation tools, automation, and scripting Knowledge of basic data visualization in Excel and Tableau Experience with SQL Server Excellent communication, organizational and interpersonal skills, and the ability to research and resolve issues Strong facilitation skills for requirement elicitation and management communications Quantitative rigor, good problem-solving skills, and a growth mindset Thanks & Regards Srujan Burra Email: [email protected] Source Mantra Inc | www.sourcemantra.com 295 Durham Ave, Suite # 201, South Plainfield, NJ 07080 Certified Minority Business Enterprise (MBE) -- Keywords: information technology golang New Jersey Texas |
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| Mon Dec 18 21:57:00 UTC 2023 |