Snowflake Developer Jobs

Seeking a skilled Snowflake Developer with 10-20 years of experience to join our team in Chennai, India. As a part-time role with the flexibility of working from home, you will be responsible for designing, developing, and maintaining Snowflake data warehouse solutions. Your key responsibilities will include designing and implementing data models, optimizing data pipelines, and ensuring data quality and security. The ideal candidate should have a graduate degree and strong expertise in SQL, ETL processes, and Snowflake architecture. Excellent problem-solving skills and the ability to work independently are essential for success in this role.

We're Hiring: Spark + Scala Data Engineers Are you a skilled Data Engineer with a strong foundation in Scala and Apache Spark? We're on the lookout for passionate professionals ready to make an impact in large-scale data projects. Role Overview: Experience: 6+ years total 3+ years relevant in Spark Tech Stack: Scala, Spark / PySpark, Hadoop ecosystem, SQL Hands-on experience in at least 2 Spark-based projects Ability to write clean, testable Scala code Exposure to Agile, CI/CD, Git, and orchestration tools Preferred Background:Candidates from companies like TCS, Wipro, IBM, Barclays, Thoughtworks, Xebia, Publicis Sapient are highly encouraged to apply! What Were Looking For:Strong data processing skills using Scala + SparkAdvanced SQL and performance tuning knowledgeUnderstanding of data warehouse concepts & big data architectureGreat problem-solving mindset and communication skills Location & Compensation: Will be discussed during the screening process If you're interested or know someone who fits the bill, feel free to DM me or drop your CV in the comments or inbox.

Job Summary: We are seeking a Snowflake Data Engineer to join our Data & Analytics team. This role involvesdesigning, implementing, and optimizing Snowflake-based data solutions. The ideal candidate will haveproven, hands-on data engineering expertise in Snowflake, cloud data platforms, ETL/ELT processes,and Medallion data architecture best practices. The data engineer role has a day-to-day focus onimplementation, performance optimization and scalability. This is a tactical role requiring independentdata analysis and data discovery to understand our existing source systems, fact and dimension datamodels, and implement an enterprise data warehouse solution in Snowflake. This role will take directionfrom the Lead Snowflake Data Engineer and Director of Data Engineering for their work while bringingtheir own domain expertise and experience.Essential Functions and Tasks: Participate in the design, development, and maintenance of a scalable Snowflake data solution servingour enterprise data & analytics team. Implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake andrelated technologies. Optimize Snowflake database performance Collaborate with cross-functional teams of data analysts, business analysts, data scientists, and softwareengineers, to define and implement data solutions. Ensure data quality, integrity, and governance. Troubleshoot and resolve data-related issues, ensuring high availability and performance of the dataplatform.Education and Experience Requirements: Bachelors or Masters degree in Computer Science, Information Systems, or a related field. 4+ years of experience in-depth data engineering, with at least 1+ minimum year(s) of dedicatedexperience engineering solutions in an enterprise scale Snowflake environment. Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques. Strong experience with cloud platforms (preference to Azure) and their data services. Experience in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, orFivetran. Hands-on experience with scripting languages like Python for data processing. Snowflake SnowPro certification; preference to the engineering course path. Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC). Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming. Familiarity with BI and visualization tools such as PowerBI.Knowledge, Skills, and Abilities: Familiarity working in an agile scum team, including sprint planning, daily stand-ups, backloggrooming, and retrospectives. Ability to self-manage medium complexity deliverables and document user stories and tasksthrough Azure Dev Ops. Personal accountability to committed sprint user stories and tasks Strong analytical and problem-solving skills with the ability to handle complex data challenges Ability to read, understand, and apply state/federal laws, regulations, and policies. Ability to communicate with diverse personalities in a tactful, mature, and professional manner. Ability to remain flexible and work within a collaborative and fast paced environment. Understand and comply with company policies and procedures. Strong oral, written, and interpersonal communication skills. Strong time management and organizational skills.Physical Demands: 40 hours per week Occasional Standing Occasional Walking Sitting for prolonged periods of time Frequent hand, finger movement Communicate verbally and in writing Extensive use of computer keyboard and viewing of computer screen Specific vision abilities required by this job include close vision

Job Title: Freelance Technology ExpertsCompany: Lorsiv TechnologiesLocation: RemoteJob Type: FreelanceDuration: Project-basedExperience: Minimum 4-5 yearsAbout Us:Lorsiv Technologies is a dynamic and forward-thinking organization specializing in US IT recruitment. We're currently seeking experienced technology experts to collaborate with us on exciting projects. If you're a skilled professional with a strong background in any of the following technologies, we'd like to hear from you.Technologies We're Looking For:JavaDevOpsSnowflake Development.NetCloud&DevopsQA automationQA testNetwork engineerResponsibilities:Collaborate with our team to deliver high-quality projects and solutions.Utilize your expertise to solve complex technical challenges.Provide guidance, mentorship, and support to team members as needed.Requirements:Minimum of 4-5 years of hands-on experience in your respective technology field(s).Proven track record of successfully completing projects or initiatives.Strong problem-solving and communication skills.If you're passionate about technology and looking for freelance opportunities to showcase your expertise, please send your resume and a brief cover letter highlighting your relevant experience We value diversity and inclusion and encourage individuals of all backgrounds and experiences to apply. This is a remote freelance position, and we welcome applications from candidates worldwide.Join us in shaping the future of technology by bringing your expertise to our team!

Minimum 5 years of experience in Business Intelligence systems, Data Warehousing, Data Analytics solution Implementation. Bachelor's degree in Business, Engineering or a related field Should have Handson experience in developing Power BI visualization reports and utilization of DAX for data manipulation Advanced working knowledge of data mining using ETL, data warehouse as well as Excel Understanding of data warehousing, data modelling concept and building new DW tables Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams. Proficiency in and prior implementation experience with atleast one of the following programming languages: Python, R or Java Direct Customer handing experience is a plus.

You will be responsible for designing and creating the data warehouse and all related extraction, transformation and load of data functions in the company. After the groundwork has been laid, you will also test your designs to ensure the system runs smoothly. Furthermore, you must be expert at taking a big-picture view of a company's data situation. A skill set that is a big plus is called data modeling. This means you will need to be able to read, analyze and digest what a business wants to accomplish with its data, and design the best possible ETL process around those goals. Database designs take on many forms, including star and snowflake schemas.Qualifications:Capital markets and derivatives business knowledge preferredTechnical expertise in SQL Server and Python Git change managementSnowSQLAzure Data Factory

Must-Have1. Must have 5+ years of IT experience, relevant experience of atleast 2 years in Snowflake.2. In-depth understanding of Data Warehousing, ETL concepts and modeling structure pinciples3. Experience working with Snowflake Functions, hands on exp with Snowflake utilities, stage and file upload features, time travel, fail safe,procedure writing,tasks,snowpipe, SnowSQL4. Knowledge on Snowflake Architecture5. Good knowledge of RDBMS topics, ability to write complex SQL, PL/SQL.6. Expertise on engineeering platform components such as Data Pipelines, Data Orchestration, Data Quality, Data Governance & Analytics7. Hands-on experience on implementing large-scale data intelligence solution around Snowflake DW8. Experience in scripting language such as Python or Scala is must9. Good experience on streaming services such as Kafka10. Experience working with Semi-Structured data