| Hot C2C opening forSr. Data Engineer Remote role at Remote, Remote, USA |
| Email: [email protected] |
| From: Gobi, PiplNow [email protected] Reply to: [email protected] Hi, Hope you are doing well. I have an urgent C2C opening for Sr. Data Engineer Remote role Our client is looking to fill this role immediately. Please share your updated resume, filled consultant details, filled Skill matrix, visa copy and dl copy asap. Skills Years of experience Over all experience Total years of work exp in US As Data Engineer Python SQL (expert level) Spark Hadoop Airflow Scala Kafka distributed storage systems (e.g., HDFS, S3) Luigi, Oozie, AWS Glue Relational databases (e.g., PostgreSQL, MySQL) Columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse) Consultant Details: Criteria Consultant's Data Full Name Primary Phone Primary Email Education Details Graduation Education Details Masters Certification if any Passport Number LinkedIn Profile US work authorization and expiration Expected pay rate on C2C Current Company Name Current location (City/State) Willing to relocate (yes/No) Availability to join new project/ Notice period Have you ever worked or interviewed for this client in the past If yes, as a consultant or as an employee Last 5 digits of Social Security Number Birth month and day (NOT YEAR) Senior Data Engineer Remote Skill Sets - Python, SQL (expert level), Spark and Scala, Airflow Expertise: 5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3) Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions. Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse) Excellent written and verbal communication skills A Typical Day: Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, financial details, and external data feeds. Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy. Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements. Contribute to the broader Data Engineering community to influence tooling and standards to improve culture and productivity. Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues. Keywords: sthree |
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| Thu Feb 22 01:15:00 UTC 2024 |