EXL - Lead Data Engineer - ETL/Snowflake DB in Gurugram, India

... experience in data engineering, building and maintaining large-scale data pipelines and platforms.- 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.- Experience building interactive applications using Foundry Workshop, ...

Role : Snowflake COE LeadLocation : Pune / Gurgaon / Bangalore / Hyderabad / ChennaiWork Mode : HybridAbout EXL : EXL is a global analytics and digital solutions company partnering with clients to deliver data-driven transformation and business outcomes. With strong capabilities in data engineering, advanced analytics, ...

Role : Snowflake COE LeadLocation : Pune / Gurgaon / Bangalore / Hyderabad / ChennaiWork Mode : HybridAbout EXL : EXL is a global analytics and digital solutions company partnering with clients to deliver data-driven transformation and business outcomes. With strong capabilities in data engineering, advanced analytics, ...

Role : Snowflake COE LeadLocation : Pune / Gurgaon / Bangalore / Hyderabad / ChennaiWork Mode : HybridAbout EXL : EXL is a global analytics and digital solutions company partnering with clients to deliver data-driven transformation and business outcomes. With strong capabilities in data engineering, advanced analytics, ...

... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Data Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital ...

• Remote

... Applications. Strong hands-on experience in designing, developing, and managing ETL/ELT pipelines for enterprise-scale data platforms. Advanced proficiency in SQL for data extraction, transformation, reconciliation, and performance optimization. Hands-on experience in Python and Spark for data engineering and automation. Strong ...

• Hybrid

Role Overview :As a Generative AI Engineer at EXL, you will spearhead the design, development, and deployment of cutting-edge LLM-based solutions that solve complex business challenges for our global clientele. You will operate at the forefront of innovation, bridging the gap between experimental AI research and production-grade ...

• Hybrid

... Evaluation: Develop automated evaluation frameworks (e.g., RAGAS) to continually measure LLM accuracy, context precision, and recall.- Vector Strategy: Architect metadata filtering and hybrid search strategies within vector databases (e.g., Pinecone, Milvus).- Team Mentorship: Guide junior analysts in prompt engineering, chunking ...

... using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: Work with cross-functional teams, including engineering, product management, ...

... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...

... explainability- Establish data governance framework (catalog, lineage, ownership)- Ensure data quality, consistency, and compliance- Work closely with business leaders to translate requirements into data solutions- Lead cross-functional teams (data engineers, analysts, data scientists)- Manage vendors, partners, and external ...

... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...

• On-site

80k

... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...

We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...

4300

... high-performing data solutions. ~ The Lead Data Engineer will guide engineering teams, influence platform strategy, and establish best practices across the organization's data ecosystem. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. - 8+ years of experience in data engineering and architecture, ...

• Hybrid

... transformation jobs), and write Python libraries that other engineers across the company consume. You will also administer the data infrastructure we own, such as Snowflake, dbt Cloud, Airflow, and Kafka, with deep ownership of governance, reliability, and cost. Your customers are other engineers, analytics engineers, data scientists, ...

1400

... benchmarking, and data-driven insights Required Qualifications - Experience designing and maintaining ETL/ELT pipelines (batch and/or streaming) - Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Microsoft Fabric or similar) including IAC - Familiarity with modern data tooling (e.g., dbt, Airflow, Fivetran, Azure ...

... degree in computer science, Information Technology, Engineering, or a related field. - Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field. - 8+ years of experience in Devops and 3+ years in DBX. - Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow). ...

... policies, spot-instance strategies, DBU budget alerts, and compute right-sizing recommendations to optimise the platform spend within approved budgets. Partner with Data Scientists, AI Engineers, Data Engineers, and Business stakeholders to productionise models rapidly without sacrificing quality or compliance. Establish and evangelise ...