Xpetize - Senior Data Engineer - Synapse Analytics

Job Title : Senior Data Engineer (CTH)

Experience : Years Work Mode : Onsite (1st Month), then Hybrid

Location : Trivandrum

Joining Preference : Immediate Joiners

About the Role :

We are seeking a highly experienced and results-driven Senior Data Engineer to join our team. This is a critical Contract-to-Hire (CTH) role for an individual with extensive experience designing, building, and optimizing large-scale data pipelines and platforms in the cloud. You will be responsible for ensuring data availability, quality, and performance for analytical and operational use cases, working within a complex, multi-cloud (Azure/AWS) environment. Immediate availability is strongly preferred.

Key Responsibilities :

Data Pipeline Development & Architecture :

- Design, build, and maintain robust, scalable, and efficient ETL/ELT data pipelines across Azure and/or AWS cloud ecosystems.

- Utilize Azure Data Factory (ADF), Databricks, and Azure Synapse Analytics to ingest, transform, and store large volumes of structured and unstructured data.

- Implement complex data transformation logic, including Slowly Changing Dimensions (SCD) types, data cleansing, and validation routines.

Coding & Scripting :

- Write highly optimized SQL and PL/SQL queries for data manipulation, stored procedures, and complex joins.

- Develop robust data processing scripts and automation workflows using Python.

BI & Data Modeling :

- Design and optimize data models for data marts and data warehouses, ensuring high performance for reporting.

- Develop and manage reporting structures using SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services).

- Collaborate with BI teams to ensure data is efficiently exposed for visualization via tools like Power BI.

DevOps & Operations :

- Utilize job scheduling tools like UC4 and version control systems like TFS for process management.

- Work with CI/CD tools such as Jenkins to automate deployment and release processes. Experience with infrastructure-as-code tools like Terraform is a plus.

Performance & Quality :

- Apply a deep understanding of data structures, algorithms, and indexing techniques for performance optimization of data processing and query execution.

- Ensure high standards of data quality, reliability, and governance.

Collaboration & Delivery :

- Act as a technical leader, working effectively within an onshore-offshore delivery model.

- Exhibit strong interpersonal and communication skills to interact with global teams and business stakeholders.

- Demonstrate the ability to work independently, navigating and resolving issues in ambiguous situations.

Required Skills & Experience :

Experience :

years of progressive experience in Data Engineering, ETL development, or Business Intelligence.

Core Technology Stack :

- Expert-level proficiency in SQL and PL/SQL for complex database operations.

- Strong proficiency in Python for scripting and data manipulation.

- Proven, hands-on experience with key Azure services : Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

BI/MS Stack Experience :

- Solid experience with Microsoft data tools : SSIS and SSAS.

Data Concepts :

- Deep understanding of data warehousing concepts, dimensional modeling, and implementing Slowly Changing Dimensions (SCD).

Tooling & DevOps :

- Familiarity with job scheduling tools like UC4.

- Experience with version control systems (e.g., TFS) and CI/CD tools (e.g., Jenkins).

Technical Acumen :

- Excellent grasp of data structures, algorithms, and techniques for performance tuning large data systems.

Soft Skills :

- Proven ability to work effectively in a global onshore-offshore delivery model. Exceptional analytical, problem-solving, and communication skills.

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