{"id":3308844,"url":"https://alion.io/job/bpmlinks-data-engineer","title":"Data Engineer","company":{"id":3041799,"name":"BPMLinks","domain":"bpmlinks.com","url":"https://alion.io/company/bpmlinks","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":"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":{"min_usd":19500,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"CloudFormation","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:02:20Z","employer_posted_date":null,"last_verified_at":"2026-10-27T00:02:20Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Role: Snowflake - Data Engineer\nLocation: Hyderabad (BPMLinks)\nExperience: 5+ Years\nTimings: US-EST\n\nJob Overview:\nWe are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have experience working with modern data tools and cloud platforms, ensuring data integrity, efficiency, and security.\n\nKey Responsibilities:\nDesign, develop, and maintain data pipelines using DBT, Snowflake, and AWS Glue.\nBuild and optimize ETL/ELT workflows for efficient data processing.\nDevelop and maintain real-time data streaming solutions using Kafka.\nWork with AWS services such as Lambda, S3, Glue, and Redshift for cloud-based data integration.\nImplement data governance, security, and best practices to ensure compliance and efficiency.\nWrite efficient, scalable, and maintainable Python code for data transformations and automation.\nOptimize Snowflake performance, including warehouse sizing, query tuning, and cost management.\nCollaborate with data analysts, scientists, and stakeholders to ensure data accessibility and usability.\n\nRequired Qualifications:\nBachelor's/Master's degree in Computer Science, Data Engineering, or a related field.\nStrong expertise in Snowflake, DBT, and Kafka for data processing and analytics.\nExperience with AWS services including Glue, Lambda, S3, and IAM.\nProficiency in Python for data manipulation, automation, and pipeline development.\nExperience with SQL and performance optimization techniques.\nFamiliarity with CI/CD pipelines and version control (Git).\nStrong understanding of data warehousing, modeling, and governance best practices.\n\nPreferred Qualifications:\nAWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect/ SnowPro Certification\nExperience with orchestration tools like Apache Airflow.\nExposure to Terraform or CloudFormation for infrastructure 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