{"id":2776614,"url":"https://alion.io/job/infocepts-cloud-data-engineer","title":"Cloud Data Engineer","company":{"id":2534381,"name":"Infocepts","domain":"infocepts.com","url":"https://alion.io/company/infocepts-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-25T17:18:33Z","employer_posted_date":null,"last_verified_at":"2026-09-25T17:18:33Z","board_verified":false,"closed_at":null,"days_open":27,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":27},"description":"Position: Cloud Data Engineer \n\nLocation: Pune/Nagpur\n\nType of Employment: FTE\n\nPurpose of the Position: We are seeking a Cloud Data Engineer with expertise across Google Cloud Platform (GCP) and Amazon Web Services (AWS) to support enterprise-scale data platform initiatives. The role involves designing, developing, and optimising cloud-native data solutions, while contributing to the migration and modernisation of data workloads from GCP to AWS. The individual will work closely with architects, data engineers, DevOps teams, and business stakeholders to build scalable, secure, and high-performing data ecosystems that support analytics and business intelligence needs\n\nKey Result Areas and Activities:\nCloud Data Platform Engineering – Design, build, and maintain scalable cloud-based data pipelines, storage solutions, and data processing frameworks across GCP and AWS environments.\nCloud Migration & Modernization – Support migration of data platforms, ETL workloads, databases, and analytics solutions from GCP to AWS while ensuring minimal disruption and optimal performance.\nData Integration & Pipeline Development – Develop and optimize batch and real-time data ingestion pipelines leveraging modern cloud-native services and engineering best practices.\nData Quality, Security & Governance – Ensure implementation of data quality checks, security controls, compliance standards, and governance frameworks across data platforms.\nOperational Excellence & Stakeholder Collaboration – Collaborate with cross-functional teams to troubleshoot issues, improve platform performance, and deliver business solutions aligned with organisational objectives.\n\nEssential Skills:\nStrong experience in cloud data engineering using AWS and GCP platforms.\nExpertise in designing and developing ETL/ELT data pipelines.\nHands-on experience with AWS services such as S3, Glue, EMR, Redshift, Lambda, IAM, Athena, and CloudWatch.\nWorking knowledge of GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Composer, and IAM.\nStrong proficiency in Python and SQL for data engineering and automation.\nExperience with migration of data workloads, analytics platforms, and data pipelines between cloud environments.\nKnowledge of CI/CD, Infrastructure as Code (Terraform preferred), and cloud-native deployment practices.Deep understanding of Supply Chain, Procurement, Inventory, Manufacturing, and Operations Analytics.\n\nDesirable Skills:\nExperience with Spark, PySpark, or distributed data processing frameworks.\nExposure to Databricks or modern Lakehouse architectures.\nKnowledge of containerization technologies such as Docker and Kubernetes.\nExperience with data governance, metadata management, and data catalogue solutions.\nAWS and/or GCP cloud certifications.\n\nQualifications:\nExperience:\n5+ years of experience in Data Engineering or Cloud Data Engineering.\nExperience working across AWS and GCP ecosystems.\nProven experience supporting cloud migration and data modernization initiatives.\nExperience delivering scalable enterprise data solutions in cloud environments.\n\nEducation:\nBachelor's or master's degree in computer science, Information Technology, Engineering, Data Science, or a related field.\nRelevant AWS and/or GCP certifications will be an added advantage.\n\n Qualities:\nStrong analytical and problem-solving mindset.\nAbility to work effectively across multiple cloud platforms.\nExcellent communication and stakeholder management skills.\nStrong ownership and accountability for deliverables.\nAdaptability to evolving technologies and business requirements.\nFocus on solutioning, innovation, and continuous improvement.\nCollaborative team player with a customer-focused approach.","description_format":"text","description_chars":3697,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-17T07:43:17Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely 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