{"id":3944238,"url":"https://alion.io/job/remotestar-remote-senior-data-engineer-etl-data-modeling","title":"Remote Senior Data Engineer (ETL Data Modeling)","company":{"id":4526839,"name":"RemoteStar","domain":"remotestar.io","url":"https://alion.io/company/remotestar","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Freshteam","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":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Bitbucket","optional":false},{"name":"Dagster","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CloudFormation","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-08T18:10:45Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-09T02:30:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"RemoteStar is looking to hire a Remote Senior Data Engineer (ETL Data Modeling) on behalf of our client based in the UK with a fully remote work policy.\nAbout Client:\nThe client building, the B2B marketplace for diamonds. It’s an industry-leading B2B diamond and gemstones marketplace, connecting jewellery retailers to gemstone supplies They have a presence in London, Hong Kong, Amsterdam, and as well in Mumbai and now in New York in 2001.\nAbout the role:\nThe Remote Senior Data Engineer (ETL Data Modeling) plays a pivotal role in growing our externally facing technical platform, supporting our customers' needs, and driving technical excellence within the team.\nRESPONSIBILITIES:\nImplementing ETL/ELT pipelines within and outside of a data warehouse using Python, Pyspark and Snowflakes Snow SQL.\nSupport Redshift DWH to Snowflake Migration.\nDesign, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, Snowflake, Glue/lake formation, EMR/Spark/Scala etc.\nWork with data analysts to scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models.\nWork with Product Managers, Finance, Service Engineering Teams and Sales Teams on a day-to-day basis to support their new analytics requirements.\nImplement data quality and data governance measures and execute data profiling and data validation procedures\nImplement and uphold data governance practices to maintain data quality, integrity, and security throughout the data lifecycle.\nLeverage open-source technologies to build robust and cost-effective data solutions.\nDevelop and maintain streaming pipelines using technologies like Apache Kafka etc.\nSkills and Qualifications:\nMust have total 5+ yrs. of IT experience and 3+ years' experience in data Integration, ETL/ETL development, and database design or Data Warehouse design\nBroad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.\nExperience in data transformation, ETL/ELT tool and technologies such as AWS Glue, DBTetc for transforming structured/semi structured and unstructured datasets.Experience in ingesting and integrating data from APIs/JDBC/CDC sources.\nDeep knowledge of Python, SQL, relational/ non-relational database design, and master data strategies.\nExperience defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle.\nDeep understanding of Star and Snowflake dimensional modeling. Experience with relational databases, including SQL queries, database definition, and schema design.\nExperience with data warehouses, distributed data platforms, and data lakes.\nStrong proficiency in SQL and at least one programming language (e.g., Python,Scala, JS).\nFamiliarity with data orchestration tools, such as Apache Airflow, and the ability to design and manage complex data workflows.\nFamiliarity with agile methodologies, sprint planning, and retrospectives.\nProficiency with version control systems, Bitbucket/Git.\nAbility to work in a fast-paced startup environment and adapt to changing requirements with several ongoing concurrent projects.\nExcellent verbal and written communication skills.\nPreferred/bonus skills:\nRedshift to Snowflake migration experience.\nExperience with DevOps technologies such as Terraform, CloudFormation, and Kubernetes.\nWhile not mandatory, experience or knowledge in machine learning techniques is highly preferable, enriching our data engineering capabilities.\nExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases\nWHAT THEY OFFER:\nDynamic working environment in an extremely fast-growing company\nWork in an international environment\nWork in a pleasant environment with very little hierarchy\nIntellectually challenging, play a massive role in client’s success and scalability\nFlexible working hours","description_format":"text","description_chars":4040,"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":["Flexible schedule"],"hiring_locations":[{"name":"United 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