SQL Data Engineer

Techila Global; Pune District; Presencial; INR 1 800 000 - 3 000 000; Tempo integral

Resumo da oferta

Techila Global is seeking a Senior Data Engineer in Pune to architect and implement end-to-end data platform migrations. You will design scalable data pipelines, ensure data quality, and collaborate with analytics and BI teams to deliver trusted insights.

You will work onsite in Pune, leveraging cloud platforms (AWS/GCP/Azure) and tools like BigQuery, Snowflake, Looker, and Talend, while guiding teammates and taking ownership from design to production.

Qualificações

• Five years of work experience as Data Engineer or related role.
• Experience in production data environments with data pipelines and platforms.
• Experience leading cloud data migrations and platform modernization efforts.
• Hands-on with SQL and Python; strong data quality and performance troubleshooting.
• Experience with Looker (Mode) and BI/reporting platforms; ability to ensure data accuracy and reliability.

Responsabilidades

• Build end-to-end data platform migrations including legacy analysis, design, execution, validation, and decommissioning of obsolete platforms.
• Design and implement scalable data pipelines for business analytics.
• Serve as SME for data flows, pipelines, and reporting logic.
• Identify data dependencies, risks, and optimization opportunities across systems.
• Partner with analytics and BI teams to deliver trusted data solutions.
• Provide technical guidance to peers and raise engineering standards.
• Own projects from design through production, including documentation and knowledge transfer.

Conhecimentos

SQL

Python

Data pipelines

Cloud migrations

Distributed systems

Formação académica

Master’s degree in Information Systems / CS

Ferramentas

BigQuery

Snowflake

Looker

Mode

Talend

ETL/ELT

Git

Jira

Tableau

Power BI

Spark

Kafka

AWS

GCP

Azure

Descrição da oferta de emprego

Onsite Pune 6–0 yrs Apply by Nov 5, 2026SQL Data EngineerJoin Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.Experience6–0 yrsEmployment TypeFull-timeOpenings1 positionApply ByNov 5, 2026 Required SkillsSQLJob DescriptionThe Opportunity... As a Senior Data Engineer, you’ll build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms. How You'll Contribute... • Build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms. • Design and implement scalable, reliable software data pipelines supporting business analytics. • Serve as a subject matter expert (SME) for software data flows, pipelines, and reporting logic. • Proactively identify data dependencies, risks, and optimization opportunities across software systems. • Partner with analytics, BI (Business Intelligence), and business stakeholders to deliver trusted, performant data solutions. • Provide technical guidance to peers and help raise overall software engineering standards across the team. • Take ownership of projects from design through production, including documentation and knowledge transfer. What We're Looking For... • Master’s degree or foreign equivalent in Information Systems, Data Science, Data Analytics, Computer Science, Computer Engineering, or related field. • Five (5) years of work experience in the position offered, as a Data Engineer, Software Developer, or related occupation. • Must have experience with the following: o Working in a production data environment, with responsibility for building, maintaining, and supporting data pipelines and platforms; o Leading cloud data migrations and platform modernization efforts, including planning, execution, and support of production systems during and after migration; o BigQuery, Snowflake, and cloud-based data architectures, including designing, optimizing, and operating scalable data solutions in cloud environments; o Migrating, supporting, and maintaining BI and reporting platforms such as Looker (Mode experience), including ensuring data accuracy, performance, and reliability of reporting; o SQL (Structured Query Language) and Python, with demonstrated ability to troubleshoot and resolve complex data quality, performance, and integration issues; o Working with ETL/ELT (Extract, Transform, Load) tools (Talend) and modern data pipeline patterns, including data ingestion, transformation, orchestration, and monitoring in production environments; o Building and managing marketing data integrations, including integrations with search engines, social media platforms, and other third-party marketing data sources; o Internal and external API (Application Programming Interface) integrations, including ingesting, validating, and maintaining data from third-party and internal systems; o Data warehousing concepts, including dimensional modeling, performance optimization, and cost aware design in cloud data platforms; o Own and deliver complex technical solutions end-to-end (design, implementation, and support) using distributed systems, cloud platforms (one of the following: AWS (Amazon Web Services), GCP (Google Cloud Platform), Azure), data frameworks (one of the following: Spark, Kafka), and programing languages (one of the following: Python, C#, SQL), while prioritizing effectively and balancing speed, quality, and long-term goals; o Work independently while collaborating cross-functionally (engineering, analytics, product, and business), using tools such as Git, Jira, and BI platforms (one of the following: Tableau, Looker, Power BI), and proactively managing workstreams and contributing to team standards; and o Communicating complex technical concepts to diverse audiences, translating data architecture into clear documenAt a GlanceWork ModeOnsiteEmploymentFull-timeExperience6–0 yrsOpenings1LocationPuneDeadlineNov 5, 2026[ Hiring process ]What to expectFour stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.STEP 0130 minScreening CallIntroductory conversation with our talent team to understand your background and motivations.STEP 0260–90 minTechnical RoundLive problem-solving with a senior architect on Salesforce design, integrations, or domain depth.STEP 0345 minCulture FitConversation with practice leadership covering working style, ownership, and how you collaborate.STEP 04Within 5 daysOfferFormal offer with full compensation breakdown, start date, and onboarding plan.