{"id":2771246,"url":"https://alion.io/job/talentsyker-senior-data-engineer-adtech-domain","title":"Senior Data Engineer - AdTech Domain","company":{"id":3800580,"name":"TalentSyker","domain":"talentsyker.co.in","url":"https://alion.io/company/talentsyker","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":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":77},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-08-25T05:44:14Z","employer_posted_date":null,"last_verified_at":"2026-08-25T05:44:14Z","board_verified":false,"closed_at":null,"days_open":57,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":57},"description":"Description:\n\nWe are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.\n\nYou will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.\n\nKey Responsibilities:\n\n- Design, develop, and maintain scalable ETL pipelines for large-scale data processing.\n\n- Build and optimize distributed data applications using Spark and Scala.\n\n- Develop reliable, high-performance data pipelines for batch and streaming workloads.\n\n- Work with large datasets to ensure data quality, consistency, and performance.\n\n- Collaborate with engineering, product, and analytics teams to deliver robust data solutions.\n\n- Optimize data workflows for scalability, reliability, and cost efficiency.\n\n- Deploy and manage data workloads in cloud and containerized environments.\n\n- Troubleshoot production issues and continuously improve platform performance.\n\nRequirements:\n\n- 5+ years of experience in Data Engineering or Big Data Engineering.\n\n- Strong hands-on experience with Apache Spark and Scala.\n\n- Experience building and maintaining ETL pipelines.\n\n- Familiarity with Google Cloud Storage (GCS).\n\n- Experience with Kubernetes (K8s).\n\n- Strong SQL skills and understanding of distributed data processing.\n\n- Excellent debugging, problem-solving, and performance optimization skills.\n\n- Strong communication and collaboration skills.\n\nGood to Have:\n\n- Experience with AWS and cloud-native data services.\n\n- Familiarity with streaming technologies such as Kafka.\n\n- Experience working on large-scale data platforms or AdTech systems.\n\n- Exposure to orchestration tools such as Airflow.\n\nBenefits:\n\n- Best-in-class salary: We hire strong talent and compensate accordingly.\n\n- Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.\n\n- Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.\n\n- High-impact work: Build AI-first systems and products used at scale by global clients.\nSkills\nData Engineering, Big Data, Spark, ETL, SQL, Kafka","description_format":"text","description_chars":2431,"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":["Continuous learning"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Sales & Marketing","Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-17T04:49:54Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long 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