{"id":3065654,"url":"https://alion.io/job/deutsche-telekom-digital-labs-senior-data-engineer-ii-2","title":"Senior Data Engineer II","company":{"id":409,"name":"Deutsche Telekom Digital Labs","domain":"dtdl.in","url":"https://alion.io/company/deutsche-telekom-digital-labs","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":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T07:35:45Z","employer_posted_date":null,"last_verified_at":"2026-10-22T07:35:45Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"We are looking for a Data Engineer II with strong hands-on experience in GCP, BigQuery, Python, SQL, and modern data engineering technologies to build and maintain scalable, reliable, and production-grade data platforms. The ideal candidate should have strong expertise in data pipeline development, ETL/ELT, data modelling, pipeline optimization, and production support, with the ability to work effectively with large-scale datasets on GCP.\n\nResponsibilities: \nDesign, develop, and maintain scalable data pipelines on GCP.\nWork with large-scale datasets using BigQuery and other GCP data services.\nDevelop robust ETL/ELT pipelines for batch and incremental data processing.\nImplement idempotent and reliable data processing workflows.\nBuild and maintain workflows using Airflow / Cloud Composer.\nDevelop data transformation pipelines using Dataform/dbt.\nWork with Dataflow / Apache Beam for distributed data processing.\nWork with Dataproc, Spark, and PySpark for large-scale data processing.\nOptimize data pipelines for performance, scalability, and cost efficiency.\nImplement data quality checks, testing, and monitoring to ensure reliable data products.\nTroubleshoot production issues and provide effective production support.\nCollaborate with engineering and business teams to deliver high-quality data solutions.\n\nRequirements: \nStrong hands-on experience with GCP and BigQuery.\nAdvanced SQL and Python, Airflow / Cloud Composer, Dataform / dbt, Dataflow / Apache Beam, Dataproc / Spark / PySpark.\nStrong understanding of ETL/ELT and data pipeline development.\nExperience with batch, incremental, and idempotent processing.\nGood understanding of data modelling and data quality.\nExperience in pipeline optimization and troubleshooting.\nHands-on experience with Git, CI/CD, and testing.\nStrong production support and problem-solving skills.\n4-7.5 years of relevant data engineering experience.\nStrong experience building production-grade data pipelines.\nExcellent SQL and Python skills.\nStrong hands-on experience with the GCP data ecosystem, particularly BigQuery.\nAbility to work with large datasets and optimize data processing workflows.\nStrong analytical and troubleshooting skills.\nGood understanding of software engineering best practices, including version control, CI/CD, and testing.\nStrong communication and collaboration skills.\nSkills\nBigQuery, GCP, Google Cloud Platform, Python","description_format":"text","description_chars":2397,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Mobile Networks","IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-22T07:35:45Z"}],"visa":[],"liveness":{"score":68,"band":"ok","label":"Likely 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