Hello Everyone,
Hope you are doing good
This is Raja from Tek Leaders. We have an urgent requirement below that is open with our client.
Location : Cincinnati, OH (Remote)
Duration: 6+ Months Contract role
Key Responsibilities:
- Lead the design, development, and maintenance of scalable data platforms and pipelines
- Set technical standards and best practices for data engineering and analytics.
- Guide and mentor data engineers and analysts, fostering a culture of excellence
- Collaborate with business stakeholders to translate requirements into technical solutions
- Ensure data quality, integrity, and security across all data products
- Oversee performance tuning, optimization, and troubleshooting of data systems
- Drive adoption of new data technologies and methodologies
- Develop and maintain technical documentation and knowledge sharing resources
- Monitor and report on data platform health, usage, and performance
- Support data governance initiatives and ensure compliance with relevant policies
Required Skills:
- Proven experience leading data engineering or analytics teams
- Experienced with the concept of Centralization and De-centralization of Information, establishing Medallion Pattern and Data Mesh Architecture
- Strong proficiency in data engineering tools and technologies (Databricks, Power BI, SQL, Python, Spark, Hadoop)
- Expertise in designing and building data pipelines and ETL processes
- Experience with cloud data platforms (Azure, Google Cloud Platform) and data warehousing solutions (Snowflake, Redshift, BigQuery)
- Deep understanding of data modeling, data architecture, and database design (relational and NoSQL)
- Knowledge of data governance, data quality, and security best practices
- Experience with workflow orchestration tools (Airflow, Luigi)
- Strong problem-solving and analytical skills
- Excellent communication, documentation, and stakeholder management abilities
- Ability to mentor and guide team members in technical and professional development
Nice to Have Experiences/Skills:
- Experience with machine learning platforms and data science workflows
- Familiarity with real-time data processing and streaming technologies (Kafka, Flink)
- Exposure to data visualization and BI tools (Tableau, Power BI)
- Experience in regulated industries (finance, healthcare)
Contact Raja for more information.