Top SQL Jobs in Hyderabad

Lead CRM and loyalty strategy and roadmap, manage Salesforce Marketing Cloud implementations and integrations, execute multi-channel campaigns, drive segmentation and personalization, own performance analytics and ROI, and lead cross-functional teams and external partners to grow revenue and customer lifetime value.

Define and drive application and solution architectures, align technical solutions with business needs, support IT strategy and broad initiatives, create system diagrams, improve AI usage, and support project initiation, feasibility and analysis phases.

Design, build, and maintain scalable data pipelines and ETL solutions. Collaborate with teams to gather requirements, ensure data quality and integrity, optimize data workflows, and support analytics and decision-making across the organization.

Design, develop, and modernize enterprise-scale Azure data platforms. Lead solution architecture, refactor and optimize PySpark/Databricks pipelines, implement ETL/ELT and lakehouse/warehousing solutions, ensure performance, data quality, governance, and mentor junior engineers.

Build and ship technical solutions that accelerate experimentation and automation for growth and marketing. Create end-to-end workflows (content, sales intel, competitive tracking), reduce decision latency, instrument tracking, prototype rapidly, and embed learning loops. Automate content and intelligence to scale programs and increase experiment success rates.

Translate client requirements into analyses, gather and analyze data, derive actionable insights using SQL/R/Python/Excel, and build or improve statistical models for decision-making.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Design, build, and optimize large-scale ETL pipelines and distributed data applications (batch and streaming) using Spark and Scala. Ensure data quality and performance, deploy and manage workloads in cloud/container environments, troubleshoot production issues, and collaborate with product, engineering, and analytics teams to deliver scalable AdTech data solutions.

Design, build, and optimize scalable ETL/ELT pipelines and enterprise data platforms on Azure and Snowflake. Improve Snowflake data models and performance, collaborate with cross-functional Agile teams, and support data warehousing, big data, and cloud analytics solutions.

Design, build, and maintain scalable ETL/ELT pipelines and cloud data warehouse transformations. Create dimensional schemas and semantic models, enforce automated data validation, optimize query performance and partitioning, manage backend data layers for BI, and collaborate with business and engineering teams to translate requirements into robust analytics architectures.

Provide end-to-end support for the EnCore ERP platform focused on plant-floor workflows, production scheduling, inventory, and order-to-cash. Troubleshoot application, database, and system issues using SQL, logs, and diagnostics; own cases, create KB content, coordinate cross-team escalations, and assist with testing, upgrades, and off-hours incident support for customers in North America and Europe.

Lead design, build, and deployment of scalable machine learning models using Python, SQL, and ML/DL frameworks. Process and train models on large datasets with Spark/Databricks/Hadoop, automate pipelines with Airflow and AWS EMR, and integrate models into AWS cloud applications. Drive end-to-end experiments, optimize pipelines and queries, and deliver production-grade, high-impact data science solutions.

Lead or support Infor SyteLine ERP deployments, configure modules (Manufacturing, Supply Chain, Finance, Inventory, CRM), develop customizations using .NET and SQL, integrate with non-Infor systems, and build dashboards and reports. Requires understanding of manufacturing and supply chain processes.

Develop, test, debug and maintain web and mobile fintech applications. Work in an Agile environment with cross-functional teams, manage time-sensitive deliverables, provide technical support, and improve user experience while reporting to IT leads and the CTO.

Develop and maintain Python backend components, design and optimize SQL for large datasets, perform ETL, integrate front-end and third-party services, troubleshoot applications and databases, ensure data quality and security, participate in code reviews, and produce technical documentation.

Design and implement scalable cloud-native data and analytics platforms (AWS/Azure) using Databricks, Snowflake, SQL, Python/PySpark. Build ingestion, ETL/ELT, orchestration, integration, and reporting pipelines. Support data modeling, analytics-ready structures, BI tools, CI/CD, deployments, production support, incident management, and AI/ML-enabled analytics. Collaborate with architects, stakeholders, and engineering teams to drive standards, governance, and operational excellence.

Design and implement Python-based automated UI and API tests using Selenium, Pytest, Rest Assured or Postman. Validate data with SQL, maintain test environments, collaborate with development and QA, analyze results, and report defects to ensure high-quality deliveries.

Deploy and productionize ML models on GCP Vertex AI for real-time and batch inference. Build scalable pipelines, perform feature engineering, monitor model performance and drift, support ML-Ops and governance, and collaborate with teams on retail banking (credit risk, marketing, customer service) use cases.

Lead design and delivery of NLP and Generative AI solutions, from problem definition through deployment. Build and fine-tune transformers and LLMs for summarization, QA, classification and chatbots, apply classical and deep learning methods, ensure scalable reproducible ML workflows in cloud environments, mentor junior data scientists, and collaborate with product and engineering to translate business problems into AI solutions.

Design and implement AI/LLM-driven data extraction and ETL pipelines, build web crawling and API integrations, implement RAG systems, mitigate LLM hallucinations, evaluate third-party tools, and collaborate with content and analytics teams to deliver high-quality, scalable data for downstream analysis.

Design, build, and maintain scalable web applications using the MERN stack and Next.js. Collaborate with cross-functional teams and designers to implement UI/UX, create reusable components, optimize performance across devices, manage and improve codebases, work with SQL databases, integrate RESTful APIs, and troubleshoot complex issues.

Lead tax functional consultant responsible for implementing and supporting global indirect tax solutions using Vertex and Oracle Cloud Fusion Tax. Partner with business stakeholders to define processes and roadmaps, configure tax rules, manage integrations, support SIT/UAT, troubleshoot critical issues, and lead cross-functional teams through implementations and M&A-related tax integrations.

Audit claim and denial work for accuracy across human and AI outputs, build and maintain QA scorecards and dashboards, design rule-based quality checks, identify root causes and coach billing teams, and surface reproducible AI error patterns to Product and Engineering.

Build and own the AI-native GTM pipeline: detect and score regulatory buying signals, enrich contacts, automate personalized outbound, route opportunities to AEs, maintain Salesforce as source of truth, and deliver pipeline attribution dashboards. Use AI agents to augment workflows and ensure high deliverability and conversion.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.