{"id":3936027,"url":"https://alion.io/job/comviva-data-analytics-developer","title":"Data Analytics Developer","company":{"id":452675,"name":"Comviva","domain":"comviva.com","url":"https://alion.io/company/comviva","size_band":null,"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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache 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BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-08T07:35:15Z","employer_posted_date":null,"last_verified_at":"2026-11-08T07:35:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Key Responsibilities:\nDesign, develop, and maintain scalable, high-throughput ETL pipelines to support data integration, transformation, and delivery across enterprise systems.\nBuild and optimize data processing workflows using Talend and other ETL technologies for large-scale structured and unstructured datasets.\nImplement data validation, cleansing, deduplication, error handling, logging, and reconciliation mechanisms to ensure data quality and reliability.\nOptimize SQL queries, ETL jobs, and data pipeline performance across relational databases, data lakes, and cloud data warehouses.\nDevelop and support real-time and batch data processing solutions, including streaming and event-driven architectures.\nIntegrate data from multiple sources, including APIs, databases, cloud platforms, and Kafka-based streaming systems.\nImplement CI/CD processes, version control, containerization, and automated deployment pipelines for data engineering solutions.\nDesign and implement monitoring, alerting, and SLA tracking mechanisms to ensure operational stability and performance.\nSupport machine learning and advanced analytics initiatives through feature engineering, data preparation, model deployment, and scoring pipelines.\nCollaborate with business, product, analytics, and technology teams to define KPIs, data requirements, and reporting needs.\nEnsure adherence to data governance, security, compliance, encryption, and access management standards.\nContribute to architecture decisions, process improvements, and best practices for modern data engineering and cloud-native solutions.\n\nMandatory Skills:\nStrong expertise in ETL development, data integration, and large-scale data pipeline design.\nHands-on experience with ETL tools such as Talend, Apache NiFi, Airflow, DBT, Hadoop, Spark, or Azure SSIS.\nProficiency in Java, Python, SQL, and Shell scripting for data processing and automation.\nStrong experience with relational databases and data warehouses including PostgreSQL, Oracle, MySQL, Teradata, Snowflake, and BigQuery.\nExperience with cloud data engineering platforms and services across AWS, Azure, and GCP.\nStrong understanding of data modeling concepts, including star schema, snowflake schema, and normalized data models.\nExperience in performance tuning, query optimization, partitioning, and large-scale data processing.\nKnowledge of API-based integrations, streaming architectures, and Kafka-based event processing.\nExperience implementing CI/CD pipelines using Git, GitHub Actions, Docker, and deployment automation tools.\nStrong understanding of data governance, security controls, IAM, encryption, and data lifecycle management.\nExperience implementing data quality, metadata management, audit, validation, and monitoring frameworks.\nStrong analytical, troubleshooting, problem-solving, and stakeholder management skills.\n\nDesirable Skills:\nExperience supporting machine learning pipelines, feature engineering, model deployment, and model scoring frameworks.\nExposure to modern cloud-native architectures and distributed data processing environments.\nExperience working with reporting and visualization platforms such as Power BI or Tableau.\nFamiliarity with real-time analytics, event-driven systems, and streaming data platforms.\nExperience collaborating with product, analytics, marketing, and business teams to drive data-driven decision-making.\nExposure to DevOps practices and infrastructure automation within data engineering ecosystems.\nExperience mentoring junior engineers and contributing to technical leadership initiatives.\nMaster's degree in Computer Science, Information Systems, Data Engineering, or a related discipline.\nAbility to independently lead complex data engineering initiatives and deliver production-ready solutions with minimal supervision.\nStrong communication skills and experience working in cross-functional and geographically distributed teams.\nSkills\nAWS, Airflow, Azure, ETL, GCP, Java, Kafka, Python, SQL, Shell, Snowflake, Spark, Talend, dbt","description_format":"text","description_chars":4007,"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":["Financial Software & Embedded Finance","Mobile Networks"],"lifecycle":[{"event":"open","at":"2026-11-08T07:35:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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