\ud83d\udccd Work Location: Remote<\/p>\n\n\n\n
\ud83d\udcbc Experience:<\/p>\n\n\n\n
\u2022 Data Engineer \u2013 4 to 6 Years<\/p>\n\n\n\n
\u2022 Senior Data Engineer \u2013 6 to 8 Years<\/p>\n\n\n\n
\ud83d\udde3 Requirement: Strong communication skills (client onboarding exposure preferred)<\/p>\n\n\n\n
\ud83d\udee0\ufe0f Key Responsibilities<\/p>\n\n\n\n
\u2699\ufe0f Data Engineering & Pipeline Development<\/p>\n\n\n\n
\u2013 Design and develop scalable data pipelines and ETL workflows for large datasets.<\/p>\n\n\n\n
\u2013 Build efficient data models, schemas, and transformation logic for analytics and reporting.<\/p>\n\n\n\n
\u2013 Manage and optimize data lakes, warehouses, and lakehouse architectures.<\/p>\n\n\n\n
\u2601\ufe0f Big Data & Cloud Platforms<\/p>\n\n\n\n
\u2013 Develop and maintain data processing systems using Spark, Delta Lake, Kafka, and related technologies.<\/p>\n\n\n\n
\u2013 Build cloud-based data solutions using Azure, AWS, or GCP.<\/p>\n\n\n\n
\u2013 Ensure solutions are scalable, secure, and cost-efficient.<\/p>\n\n\n\n
\ud83d\udcca Data Quality & Governance<\/p>\n\n\n\n
\u2013 Implement data validation, monitoring, and quality frameworks.<\/p>\n\n\n\n
\u2013 Maintain compliance with security, access control, and data privacy standards.<\/p>\n\n\n\n
\u2013 Support adoption of modern data exchange standards such as FHIR where applicable.<\/p>\n\n\n\n
\ud83d\udd04 Real-Time Data Processing<\/p>\n\n\n\n
\u2013 Develop streaming data pipelines using technologies like Apache Kafka or event streaming platforms.<\/p>\n\n\n\n
\u2013 Ensure real-time data availability for analytics and downstream applications.<\/p>\n\n\n\n
\ud83e\udd1d Collaboration<\/p>\n\n\n\n
\u2013 Work closely with data scientists, analysts, and engineering teams to deliver reliable data solutions.<\/p>\n\n\n\n
\u2013 Contribute to continuous improvement of data architecture and engineering best practices.<\/p>\n\n\n\n
\ud83c\udf93 Required Skills & Qualifications<\/p>\n\n\n\n
\u2013 Strong experience with SQL, Python, and distributed data processing frameworks<\/p>\n\n\n\n
\u2013 Hands-on experience with Spark, Delta Lake, Kafka, Presto, and big data tools<\/p>\n\n\n\n
\u2013 Experience with cloud platforms such as Azure, AWS, or GCP<\/p>\n\n\n\n
\u2013 Experience with Docker, Kubernetes, and scalable distributed systems<\/p>\n\n\n\n
\u2013 Experience building data pipelines, ETL processes, and scalable data models<\/p>\n\n\n\n
\u2013 Familiarity with data governance, data cataloging, and master data management<\/p>\n\n\n\n
\u2b50 Preferred Experience<\/p>\n\n\n\n
\u2013 Experience with Databricks or Microsoft Fabric<\/p>\n\n\n\n
\u2013 Exposure to healthcare datasets or regulated data environments<\/p>\n\n\n\n
\u2013 Experience with real-time streaming architectures<\/p>\n\n\n\n
\u2013 Familiarity with modern data warehousing tools such as Snowflake, Redshift, BigQuery, or Synapse<\/p>\n\n\n\n
\u2013 Exposure to Nextflow or workflow orchestration platforms<\/p>\n\n\n\n
\ud83d\udce9 To Apply: Share your CV<\/p>\n\n\n\n
at: rashmita.r@mitrhr.com<\/p>\n<\/body>","protected":false},"excerpt":{"rendered":"
\ud83d\udccd Work Location: Remote \ud83d\udcbc Experience: \u2022 Data Engineer \u2013 4 to 6 Years \u2022 Senior Data Engineer \u2013 6 to 8 Years \ud83d\udde3 Requirement: Strong communication skills (client onboarding…<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[361],"class_list":["post-880","post","type-post","status-publish","format-standard","hentry","category-jobs","tag-mitrhrjobs-dataengineer-seniordataengineer-bigdatajobs-remotejobs-dataengineering-clouddata-hiringnow-techhiring-analyticsengineering"],"_links":{"self":[{"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/posts\/880","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/comments?post=880"}],"version-history":[{"count":1,"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/posts\/880\/revisions"}],"predecessor-version":[{"id":881,"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/posts\/880\/revisions\/881"}],"wp:attachment":[{"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/media?parent=880"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/categories?post=880"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mitrhr.com\/current-openings\/wp-json\/wp\/v2\/tags?post=880"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}