Data Engineering Sr. Associate

Posted Yesterday
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Bellandur, Bangalore, Karnataka, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Designs and maintains scalable data pipelines, ETL/ELT workflows, data models, warehouses, and cloud-based big data solutions. Develops with Python, SQL, Spark, and platforms such as Azure Databricks and Snowflake. Ensures data quality, governance, security, monitoring, and performance. Collaborates with architects, analysts, scientists, and BI teams to translate requirements into technical solutions, support deployments and incidents, and mentor junior engineers.
Summary Generated by Built In
Key Responsibilities

Data Engineering & Development

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Build and optimize data integration workflows from multiple source systems.
  • Develop data models, data marts, and data warehouse solutions.
  • Ensure data quality, integrity, security, and governance across platforms.
  • Design solutions for structured and unstructured data processing.

Cloud & Big Data Technologies

  • Develop and manage data solutions on cloud platforms such as Azure, AWS, or GCP.
  • Work with big data technologies including Spark, Databricks, Hadoop, and Kafka.
  • Implement scalable and high-performance data processing frameworks.
  • Optimize cloud data storage and compute resources for cost and performance.

Database & Data Warehousing

  • Design and maintain SQL and NoSQL databases.
  • Develop complex SQL queries, stored procedures, and performance tuning solutions.
  • Work with enterprise data warehouses such as Snowflake, Redshift, Synapse, or BigQuery.
  • Implement data partitioning, indexing, and optimization techniques.

Data Governance & Quality

  • Establish and enforce data quality standards and validation processes.
  • Implement monitoring, logging, and alert mechanisms for data pipelines.
  • Ensure compliance with data security and governance policies.

Collaboration & Stakeholder Management

  • Collaborate with Data Architects, Business Analysts, Data Scientists, and BI teams.
  • Gather requirements and translate business needs into technical solutions.
  • Support production deployments, incident management, and root cause analysis.
  • Provide technical guidance and mentoring to junior team members.
Required Skills
  • Strong proficiency in Python, SQL, and Spark.
  • Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, or equivalent cloud technologies.
  • Experience with ETL/ELT frameworks and data integration tools.
  • Knowledge of Data Warehousing concepts and dimensional modeling.
  • Experience with Snowflake, Azure Synapse, Redshift, BigQuery, or similar platforms.
  • Strong understanding of Data Lake and Lakehouse architectures.
  • Experience with version control tools such as Git and CI/CD pipelines.
  • Familiarity with workflow orchestration tools such as Airflow or Azure Data Factory.
  • Strong problem-solving and analytical skills.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Skills Required

  • Strong proficiency in Python, SQL, and Spark
  • Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, or equivalent cloud technologies
  • Experience with ETL/ELT frameworks and data integration tools
  • Knowledge of data warehousing concepts and dimensional modeling
  • Experience with Snowflake, Azure Synapse, Redshift, BigQuery, or similar platforms
  • Strong understanding of data lake and lakehouse architectures
  • Experience with Git and CI/CD pipelines
  • Familiarity with Airflow or Azure Data Factory for workflow orchestration
  • Strong problem-solving and analytical skills

Synechron Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synechron and has not been reviewed or approved by Synechron.

  • Fair & Transparent Compensation Pay is frequently characterized as competitive, particularly relative to large service-consulting peers and in certain in-demand skill areas. Compensation sentiment appears strongest when staffing is stable on strong client engagements and for market-aligned roles in major hubs.
  • Healthcare Strength Healthcare coverage is often portrayed as a strong point in the U.S., with broad coverage and relatively favorable out-of-pocket experiences. Core medical, dental, and vision options are consistently described as meeting or exceeding a baseline expectation for consulting roles.
  • Equity Value & Accessibility Equity was made broadly accessible through a company-wide RSU grant tied to a major revenue milestone. This is positioned as a notable upside even if it is framed as a one-time recognition event rather than an ongoing program.

Synechron Insights

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The Company
HQ: New York, New York
12,827 Employees
Year Founded: 2001

What We Do

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+, and has 48 offices in 19 countries within key global markets. For more information on the company, please visit our website: www.synechron.com.

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