{"id":3749306,"url":"https://alion.io/job/vxi-data-engineer","title":"Data Engineer","company":{"id":2353088,"name":"VXI Global Solutions","domain":"vxi.com","url":"https://alion.io/company/vxi-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":36,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","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":2,"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":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAP HANA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false},{"name":"Teradata","optional":false},{"name":"Vertica","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-05T15:53:06Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"It's fun to work in a company where people truly BELIEVE in what they are doing!\nWe're committed to bringing passion and customer focus to the business.\nJob Description:\nWe are seeking talented and motivated Data Engineers to join our dynamic team and contribute to our mission of harnessing the power of data to drive growth and success.\nAs a Data Engineer at VXI Global Solutions, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support our customer experience and management initiatives. You will collaborate with cross-functional teams to understand business requirements, architect scalable data solutions, and ensure data quality and integrity. This is an exciting opportunity to work with cutting-edge technologies and shape the future of data-driven decision-making at VXI Global Solutions.\nResponsibilities:\nDesign, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and store data from various sources.\nCollaborate with business stakeholders to understand data requirements and translate them into technical solutions.\nImplement data models and schemas to support analytics, reporting, and machine learning initiatives.\nOptimize data processing and storage solutions for performance, scalability, and cost-effectiveness.\nEnsure data quality and integrity by implementing data validation, monitoring, and error handling mechanisms.\nCollaborate with data analysts and data scientists to provide them with clean, reliable, and accessible data for analysis and modeling.\nStay current with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data capabilities.\nRequirements:\nBachelor's degree in Computer Science, Engineering, or a related field.\nProven 2+ years' experience as a data engineer or similar role\nProficiency in SQL, Python, and/or other programming languages for data processing and manipulation.\nExperience with relational and NoSQL databases (e.g., SQL Server, MySQL, Postgres, Cassandra, DynamoDB, MongoDB, Oracle), data warehousing (e.g., Vertica, Teradata, Oracle Exadata, SAP Hana), and data modeling concepts.\nStrong understanding of distributed computing frameworks (e.g., Apache Spark, Apache Flink, Apache Storm) and cloud-based data platforms (e.g., AWS Redshift, Azure, Google BigQuery, Snowflake)\nFamiliarity with data visualization tools (e.g., Tableau, Power BI, Looker, Apache Superset) and data pipeline tools (e.g. Airflow, Kafka, Data Flow, Cloud Data Fusion, Airbyte, Informatica, Talend) is a plus.\nUnderstanding of data and query optimization, query profiling, and query performance monitoring tools and techniques.\nSolid understanding of ETL/ELT processes, data validation, and data security best practices\nExperience in version control systems (Git) and CI/CD pipelines.\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration skills to work effectively with cross-functional teams.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!","description_format":"text","description_chars":3124,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","Call Center 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