{"id":1279064,"url":"https://alion.io/job/teamware-solutions-data-engineer","title":"Data Engineer","company":{"id":3800291,"name":"Teamware Solutions","domain":"twsol.com","url":"https://alion.io/company/teamware-solutions","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":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, 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":57},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-26T11:34:12Z","employer_posted_date":null,"last_verified_at":"2026-08-26T11:34:12Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"Job Description :\n\nLocation : Bangalore\n\nJob Mode : Hybrid\n\nMust Have :\n\n- Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions.\n\n- Strong expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS.\n\n- Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, Big Data model techniques using Python / Java.\n\n- Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design.\n\n- Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns.\n\n- Should have experience with data security and data access controls and design.\n\n- Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling).\n\n- Proficient in Lambda and Kappa Architectures.\n\n- Strong AWS hands-on expertise with a programming background preferably Python/Scala.\n\n- Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory.\n\n- Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift & Dynamodb.\n\n- Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK.\n\n- Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming.\n\n- Experience in one of the flow tools like Airflow, Nifi or Luigi.\n\n- Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit.\n\n- Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules.\n\n- Strong understanding of Cloud data migration processes, methods and project lifecycle.\n\n- Good analytical & problem-solving skills.\n\n- Good communication and presentation skills.\nSkills\nData Engineering, AWS, Python, SQL, Apache Spark, ETL, Redshift, DynamoDB","description_format":"text","description_chars":2113,"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":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.588,"p_room":0.55,"age_days":33,"expected_fill_days":30,"reasons":["seen:33","velocity","win:tail"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/teamware-solutions-data-engineer","json_url":"https://alion.io/job/teamware-solutions-data-engineer.json","meta":{"generated_at":"2026-09-30T05:19:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3697,"day_limit":5000,"remaining_today":1303,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}