{"id":3977950,"url":"https://alion.io/job/durapid-technologies-aws-data-engineer","title":"AWS Data Engineer","company":{"id":4527089,"name":"Durapid Technologies","domain":"durapid.com","url":"https://alion.io/company/durapid-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MQTT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-09T18:35:35Z","employer_posted_date":null,"last_verified_at":"2026-11-09T18:35:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for skilled Data Engineers with hands-on experience in AWS Data Engineering, distributed data processing, and cloud-based data solutions. The ideal candidates should have strong expertise in building scalable data pipelines, working with Amazon Redshift, Apache Spark, PySpark, Kafka, Airflow, Python, and SQL. Candidates should be capable of developing, maintaining, and optimizing ETL/ELT workflows, data warehouses, and real-time data ingestion solutions.\n\nKey Responsibilities:\nDesign, develop, and maintain scalable data pipelines using AWS services, particularly Amazon Redshift.\nBuild and optimize ETL/ELT workflows for data ingestion, transformation, and processing.\nDevelop distributed data processing solutions using Apache Spark and PySpark.\nImplement real-time data streaming and ingestion solutions using Apache Kafka and MQTT.\nDesign and maintain Redshift-based data warehouses, data marts, and analytical data models.\nImplement workflow orchestration, scheduling, and monitoring using Apache Airflow.\nWrite optimized and reusable Python and SQL code for data processing.\nEnsure data quality, reliability, scalability, and performance across data pipelines.\nTroubleshoot pipeline failures and optimize data processing workflows.\nCollaborate with cross-functional teams to deliver reliable data engineering solutions.\n\nMandatory Skills:\n3-9 years of relevant experience in Data Engineering.\nStrong hands-on experience in AWS Data Engineering.\nExperience developing and managing data pipelines using Amazon Redshift.\nProficiency in Apache Spark and PySpark.\nStrong programming skills in Python and SQL.\nHands-on experience with Apache Airflow.\nExperience with Apache Kafka for data streaming and ingestion.\nUnderstanding of ETL/ELT, Data Warehousing, Data Marts, and analytical data modeling.\nAbility to build and maintain scalable, production-ready data pipelines.\n\nGood to Have:\nMQTT and real-time data ingestion.\nTableau or other data visualization tools.\nManufacturing industry experience.\nIndustrial IoT (IIoT) and sensor-based data ingestion.\n\nPreferred Candidate Profile:\nStrong analytical and problem-solving skills.\nAbility to independently develop and maintain data pipelines.\nUnderstanding of cloud-native data engineering architectures.\nGood communication and collaboration skills.\nExperience troubleshooting and optimizing enterprise data workflows.\nSkills\nAWS, PySpark, Redshift, Spark","description_format":"text","description_chars":2426,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology","LLM & Generative AI"],"lifecycle":[{"event":"open","at":"2026-11-09T18:35:35Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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