... in end-to-end data transformation and pipeline development Detailed Job Description Mandatory Technical Skills: Snowflake Data Warehouse Python Scripting DBT (Data Build Tool) Apache Airflow Advanced SQL End-to-End ETL/ELT & Data Pipeline Development Key Requirements Strong hands-on experience in Snowflake data warehousing ...
... MUM | GGN Work Model: Hybrid What We're Looking For Mandatory-Strong hands-on experience required: - Databricks – with practical experience building production data platforms and Lakehouse architectures. - PySpark – strong production experience working with non-trivial data volumes. - Python – advanced programming and data ...
... Programming & Analytics Tools: Expert-level proficiency in Python and SQL with experience using machine learning, statistical modelling, and explainability libraries. Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments. ...
Skills Required ~ Data Science Duties & Responsibilities Advanced statistics, predictive analytics. Advanced object-oriented programming Hadoop, MySQL, TensorFlow, Spark Machine learning, data modeling Good aptitude and communication Education & Training ~ IT Education
... appropriate evaluation metrics, experimentation and continuous optimization.- Demonstrate strong hands-on programming capabilities in Python and sound knowledge of Data Structures and Algorithms.- Review technical solutions, code and modelling approaches and ensure adherence to best practices.- Mentor and guide junior Data Scientists, ...
Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security Services Minimum 7.5 Year(s) Of Experience Is ...
... in Data Science, Computer Science, Statistics, Business Analytics, or related field, or equivalent experience Business Acumen, Collaboration, Communication, Data Analysis, Data-Driven Business Intelligence, Data Visualization, Market/Industry Dynamics, Relationship Management, Statistics, Story Telling _____________________________________________________________________________________________________ ...
... Fintech & Product Advisory - Advise Product, Engineering, and Growth teams on compliant data usage (e.g. KYC, AML, transaction monitoring), Support cross-border data transfer mechanisms Data Subject Rights & Governance - Oversee handling of Data Subject Access Requests (DSARs), consent management, and data lifecycle policies, ...
... Experience with development & operations in cloud native technologies (GCP required) - Broad knowledge of open-source libraries & packages - Well versed with big data concepts and data engineering principles or techniques - Excellent communication and organization skills - Fluent written and spoken English - Must have ...
... - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, ...
... members with opportunities for learning and career growth. As a Software Engineer II in Viva Glint, you will join a team working on AI, analytics and reporting, big data and Viva app integrations. You will build scalable and performant services using engineering best practices and work hands-on with analytics and reporting ...
... Experience: - 5+ years as a Data Engineer working with Google Cloud - Proven experience in Python with libraries like Pandas and NumPy. - Expertise in building data pipelines using Apache Beam, Cloud Dataflow, or similar tools. - Solid knowledge of Kafka for real-time data streaming. - Proficiency with BigQuery, Google Pub/Sub, ...
... responsibilities, including planning, development, and troubleshooting. The ideal candidate will work closely with our development and IT operations teams to ensure seamless database operations and optimal performance. Skills Bachelor's degree in computer science, Information Technology, or related field. Total experience of 8 to 14 yrs ...
... running on GCP and managed with Terraform. - Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models. - Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset ...
... designing and implementing a data integration and analytical environment using various tools and using Python, Scala, or Java to automate the ETL, analytics, and data quality platform from the ground up. You will design and implement complex data models, model metadata, build reports and dashboards, and own data presentation ...
... systems for ensuring data accuracy and compliance. Adept at collaborating with cross-functional teams and delivering solutions that align with business objectiv Data Analysis/Business Data Analyst/Technical Business Analyst Data Enginee ring (Data Governance(Collibra), Data Profiling, Data Modelling, Data Visualization) Data ...
... experience in BigData Development. ○ Strong Hands On Experience on Python, PySpark, Java Script, AWS, Cloud . Primary Skills ○ Knowledge of SQL and relational databases ○ Proficiency in developing, deploying, and debugging data-objects, and data transformation pipelines. ○ Expertise in data analysis methodologies ○ Exposure ...
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
... work entirely from our Hyderabad office (Monday - Friday).Good-to-Have Skills : - Experience with Generative AI and Large Language Models (LLMs).- Hands-on experience with SQL/NoSQL databases, data warehouses, and Big Data technologies.- Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes). (