2+ Data archiving Jobs in Mumbai | Data archiving Job openings in Mumbai

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Job Description – Developer (ETL + Database)

 Develop, document & Support ETL mappings, Database structures & BI reports.

 Perform unit testing of developments done by him/her.

 Participate in UAT process and ensure quick resolution of any UAT issue.

 Manage different environments and be responsible for proper deployment of code in all client

environments.

 Prepare release documents.

 Prepare and Maintain project documents as advised by Team Leads.

Skill-sets:

 3+ years of Hands on experience on ETL Pentaho Spoon Talend & MS SQL Server, Oracle & SYBASE Database tools.

 Ability to write complex SQL and database procedures.

 Good knowledge and understanding regarding Data warehouse Concepts, ETL Concepts, ETL

Loading Strategies, Data archiving, Data Reconciliation, ETL error handling etc.

 Problem Solving.

 Good communication skills – written and verbal.

 Self-motivated, team player, action and result oriented.

 Ability to successfully work under tight project schedule