Job ID: JOB_ID_5436
Job Overview
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. This role is 100% remote within the USA and offers a long-term contract or full-time employment opportunity. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines, managing large-scale data systems, and supporting critical analytics initiatives. You will work with cutting-edge big data technologies and cloud platforms to deliver scalable and efficient data solutions.
Key Responsibilities
- Design, develop, and implement scalable ETL/ELT pipelines to ingest and transform data from various sources.
- Work with large datasets using big data technologies such as PySpark, Spark, and Hadoop.
- Develop and deploy data solutions on major cloud platforms including AWS, Azure, or GCP.
- Implement and manage data warehousing solutions using technologies like Snowflake, Redshift, or BigQuery.
- Optimize data processing and storage performance for efficiency and cost-effectiveness.
- Collaborate closely with data scientists, analysts, and other stakeholders to understand data needs and deliver actionable insights.
- Ensure data quality, implement data governance best practices, and maintain data security standards.
- Automate data workflows and operational tasks using tools like Airflow or similar orchestration platforms.
Required Skills and Experience
- A minimum of 8 years of professional experience in Data Engineering.
- Strong proficiency in programming languages such as Python and SQL.
- Hands-on experience with distributed computing frameworks like Spark, PySpark, and Hadoop.
- Demonstrated experience with cloud platforms, specifically AWS (S3, Glue, Lambda), Azure, or GCP.
- Proven experience with modern data warehousing solutions such as Snowflake or Databricks.
- Familiarity with ETL tools (e.g., Informatica, Talend).
- Experience with real-time data streaming technologies like Kafka.
- A strong understanding of data modeling principles and data architecture best practices.
Nice to Have
- Experience in developing and deploying Machine Learning pipelines.
- Knowledge of data governance frameworks and regulatory compliance.
- Familiarity with business intelligence tools such as Tableau or Power BI.
Employment Type
This position is available as a Long Term Contract or Full-Time employment.
Location
100% Remote (USA)
Visa Requirements
US Citizen (USC) Only.
Special Requirements
Visa: USC Only. Employment Type: Long Term Contract / Full-Time. Location: 100% Remote (USA). No specific screening or interview modes mentioned.
Compensation & Location
Salary: $120,000 – $160,000 per year
Location: Remote, USA
Recruiter / Company – Contact Information
Email: thripurareddy188@gmail.com
Recruiter Notice:
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