Sr. Data Engineer with strong SQL and Databricks experience

PEOPLE FORCE CONSULTING INC
Chicago, US
Hybrid

Why this role

Pace
Steady
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design, develop, and maintain complex SQL Server and Azure SQL databases
  • Support cloud-based data architectures and hybrid data environments
Typical background
10+ years of experience as a Database Developer or similar role

Transferable backgrounds

  • Coming from Database Administration
  • Coming from Cloud Engineering

Skills & requirements

Required

SQL ServerAzure SQLDatabricksT-sqlData WarehousingEtl/eltDelta LakeSpark SQLPyspark/sqlCloud-based Data Architectures

Preferred

Technical Certification In Multiple Technologies

Stack & domain

Sql ServerAzure SqlDatabricksApache SparkDelta LakeSpark SqlPyspark/sqlData WarehousingDimensional ModellingSlowly Changing Dimensions (scd)Etl/elt ProcessesDatabase SecurityData IntegrityReliabilityCloud-based Data ArchitecturesHybrid Data EnvironmentsCollaborationMentoringCode ReviewsTroubleshootingRoot Cause AnalysisData EngineeringCloud EnvironmentsEtl/elt

About the role

Original posting from PEOPLE FORCE CONSULTING INC via LinkedIn

Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms

Role - Sr. Data Engineer with strong SQL and Databricks experience

Interview process - Inperson ONLY

Experience: - 8+ Years

Location: - Chicago, IL (Hybrid 3 days Work from Office)

Duration: - 6+ months contract

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Roles And Responsibilities

Database Development & Optimization: Design, develop, and maintain complex SQL Server and Azure SQL databases.

Write and optimize advanced T-SQL queries, stored procedures, functions, and views.

Perform query tuning, indexing strategies, and performance optimization for large-scale datasets.

Implement best practices for database security, data integrity, and reliability.

Cloud & Data Platform: Develop and manage data solutions in Azure SQL Database.

Work with Databricks (Apache Spark) to support data transformations, analytics, and largescale data processing.

Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark/SQL where applicable.

Support cloud-based data architectures and hybrid data environments.

Data Modelling & Warehousing: Design and maintain relational and dimensional data models.

Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.

Support ETL/ELT processes and collaborate with data engineering teams.

Collaboration & Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.

Provide guidance and mentoring to junior developers.

Participate in code reviews and enforce database development standards.

Troubleshoot production issues and provide root cause analysis.

Mandatory Skills

10+ years of experience as a Database Developer or similar role.

Strong expertise in SQL Server and Azure SQL.

Advanced proficiency in T-SQL, including performance tuning and query optimization.

Hands-on experience with Databricks and Apache Spark.

Solid understanding of data warehousing concepts, dimensional modelling, and SCD.

Experience working in Azure cloud environments.

Strong analytical, problem-solving, and communication skills.

Source: PEOPLE FORCE CONSULTING INC careers (LinkedIn)

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